Custom AI for the work you can't get wrong.
The companies that win with AI aren't the ones chasing it — they're regulated operators who can't hand their data and rules to an off-the-shelf tool. We build the AI you can actually put into production: conversation bots, workflow automation, document AI, coaching, compliance, and custom agents.
No pitch. We tell you if AI is the wrong tool for your workflow.
Off-the-shelf AI doesn't know your data, your rules, or your edge cases.
SaaS is built for the average customer. The work that's actually hard — a medication review, a lending decision, a collections call that has to pass review, a candidate screen against a client's unwritten must-haves — runs on your proprietary data and your specific rules. That's what we build.
Six ways we put AI into production.
One engineering standard across all of them: built on your data, anonymized before any model, auditable end to end, with a human on the judgment calls.
Conversation & Voice Bots
Chat and voice agents for conversations that carry risk — collections, intake, qualification — with disclosure, PII handling, and human handoff built in.
Explore →Workflow Automation
Multi-step pipelines and agent systems for decisions and reviews that have to be right — and auditable.
Explore →Document AI
Extraction, classification, and review across documents at scale — structured and scanned, with the data protection your industry requires.
Explore →Coaching AI
Guidance grounded in your own calls, playbooks, and CRM — so every rep, recruiter, or agent performs like your best one.
Explore →Compliance & Audit AI
Evidence mapping, real-time gap analysis, and audit-ready reporting — so review season isn't a fire drill.
Explore →Custom AI Agents
Bespoke agents wired into the systems you already run — they don't just talk, they take real backend actions and trigger your workflows.
Explore →Two production systems in regulated industries.
Both anonymized at the client's request, both with verifiable reference calls under NDA. These are the only client results we claim — everything else is framed as what an engagement typically looks like.
Structured Medication Review AI for a UK clinic
A multi-step medication-extraction pipeline scoring compliance across clinical quality domains, with automatic PII anonymization and field-level encryption.
Lending Operations AI for a US consumer lender
A multi-agent conversational architecture with layered automated QA, middleware PII anonymization, and intelligent human handoff.
Every phase ends with something you own and operate.
Three packaged engagements, built so you can stop after any one of them. The engagement ends when ownership transfers — not when the budget runs out.
Feasibility Diagnostic
A fixed-fee review of one workflow with a clear go/no-go — including "buy SaaS, don't build" if that's the honest answer.
An architecture plan, a PII & compliance risk map, and a cost/ROI estimate.
Build
We ship a production system for the workflow we validated — agents, integrations, PII handling, and monitoring, in your stack.
The running system, the code, the IP, and full documentation.
Run & Own
We keep it current, monitored, and audit-ready — and train your people to run it without us.
A runbook and trained internal owners, so no system depends on one person staying.
The honest defaults most AI vendors skip.
We'll tell you to buy SaaS
If an off-the-shelf tool fits, the diagnostic says so. We only build custom when it genuinely wins.
No black boxes
Every decision path is traceable and logged. If a regulator asks "why," the system can answer.
You own everything
Code, IP, and documentation transfer to you. We hand over a runbook so you're never dependent on us.
No invented metrics
Two referenceable systems are our only client-result claims. We won't fabricate the rest.
Built for operators in regulated industries.
We build with GAIA Scrum — our AI-first development method.
AI agents do the labor; our engineers do the judgment. It's why a small, senior team can ship production software fast, to a consistent standard, across many products at once — and we've open-sourced the whole method.
Find out if AI fits your workflow — before you spend on a build.
A fixed-fee diagnostic that ends in a clear go/no-go. If the answer is "buy SaaS instead," we'll say so.
Book a feasibility diagnosticSix services. One engineering standard.
Everything we build runs on your data and your rules, anonymizes before any model sees it, and stays auditable end to end. Pick the one closest to your problem.
Conversation & Voice Bots
Chat and voice agents for risky conversations, with disclosure, PII handling, and human handoff built in.
Explore →Workflow Automation
Multi-step pipelines and agent systems for decisions and reviews that have to be right and auditable.
Explore →Document AI
Extraction, classification, and review across documents at scale — structured and scanned.
Explore →Coaching AI
Guidance grounded in your own calls, playbooks, and CRM — every rep performs like your best one.
Explore →Compliance & Audit AI
Evidence mapping, gap analysis, and audit-ready reporting — continuous, not last-minute.
Explore →Custom AI Agents
Bespoke agents wired into your systems — they take real backend actions, not just chat.
Explore →Not sure which fits?
Bring one workflow to the diagnostic. We'll tell you what's buildable — and what isn't.
Book a feasibility diagnosticBots for the conversations you can't afford to get wrong.
Chat and voice agents for collections, intake, and regulated qualification — with disclosure, PII handling, real backend actions, and human handoff built in.
What "guardrails" means in practice
- Disclosure up front — the agent identifies itself as AI where rules or good practice require it.
- Compliance enforced in code — for US collections, the FDCPA / Reg F 7-in-7 contact rule, validation-notice timing, required disclosures, and TCPA consent are system constraints, not lines in a script a tired agent might skip.
- PII handling — automatic anonymization before model processing; encrypted storage; full call logging for audit.
- Real backend actions — the agent books, verifies, updates records, and triggers workflows in your systems.
- Dispute & hardship escalation — dispute keywords and hardship signals route in real time to a licensed human, with full context and first-come-first-served queueing.
If you need a simple receptionist bot, a no-code platform may be all you need — and we'll say so in the diagnostic. We build conversation AI where risk, data sensitivity, and backend complexity are real.
Have calls that carry risk?
We'll map the conversation, the rules, and the handoffs — then tell you what it takes to automate safely.
Book a feasibility diagnosticPipelines and agent systems for decisions that have to be right — and auditable.
Document review, scoring, onboarding, compliance checks. Multi-step AI that survives an audit because it was engineered for one.
What this is
Most operations work worth automating follows the same shape: a record comes in, it has to be understood, checked against rules, scored or decided, and stored in a way a reviewer can trust. We build that shape as a system.
Where it's proven
- Clinical medication review — review time down ~70%, throughput tripled, a long backlog cleared in weeks for a UK clinic. Case study →
- Lending operations — onboarding from days to hours, processors on exceptions only, for a US consumer lender. Case study →
Have a review-heavy workflow like this?
The diagnostic maps it, prices it, and gives you a go/no-go in 2–3 weeks.
Book a feasibility diagnosticTurn document piles into structured, auditable data.
Extraction, classification, and review across structured and scanned documents — with anonymization before any model and encryption at rest.
What we build
- Extraction — pull the fields and facts that matter out of messy, mixed-format documents.
- Classification & routing — sort, tag, and route documents to the right workflow automatically.
- Scoring & review — assess documents against your quality criteria with explainable, consistent results.
- Grounded retrieval — answers and summaries cited back to the source document, not invented.
Document AI is most valuable where volume is high, formats are inconsistent, and the data is sensitive. Where a simple template or OCR tool already works, we'll tell you.
Drowning in documents?
Bring one document-heavy workflow. We'll map it against your data-protection constraints.
Book a feasibility diagnosticAI grounded in your own calls, playbooks, and CRM.
So every rep, recruiter, or agent performs like your best one — practicing against the objections your team actually faces, not generic scripts.
The idea
The knowledge of how your best people handle a hard conversation lives in your own call recordings and playbooks. We build coaching systems grounded in that data, so guidance is specific to your customers and your rules — not an average of the whole internet.
- Coaching grounded in your calls — guidance and practice built from your team's real conversations.
- Compliance-constrained conversation AI — for regulated outbound where every script has to pass review.
- Recruiter screening intelligence — screening tuned to each client's real must-haves, embedded in your existing ATS.
If an off-the-shelf conversation-intelligence tool fits your team and your data can live there, buy it. Custom coaching wins when your scripts carry compliance rules or your data can't leave your control.
Want coaching that knows your business?
Tell us about your team's conversations. We'll tell you what's buildable.
Book a feasibility diagnosticStay audit-ready, not audit-panicked.
AI that maps evidence to your frameworks, flags gaps in real time, and generates audit-ready reports — so review season isn't a fire drill.
What we build
- Evidence mapping — documents, records, and outcomes mapped continuously to the frameworks you're accountable to.
- Gap analysis — real-time flags on missing or stale evidence, months before the auditor finds it.
- Audit-ready reporting — structured reports generated from your evidence base, reviewed and signed off by your team.
- Decision traceability — every flag and output has a source and a logged reason.
Frameworks we build to
We design to the obligations our clients are screened against — and name them, because generic "compliance" language is exactly what gets buyers burned:
- Lending & collections — FDCPA / Reg F, TCPA, UDAAP, model-risk governance (SR 11-7), and state cyber rules (NYDFS Part 500).
- UK healthcare — DSPT, DTAC, and a DCB0129 clinical-safety case with a named Clinical Safety Officer; DPIA support.
- Staffing & hiring — EEOC adverse-impact (four-fifths) testing, NYC Local Law 144 bias audits, and the Colorado AI Act.
- Cross-cutting — NIST AI RMF and ISO/IEC 42001 control alignment, with EU AI Act high-risk obligation mapping.
This is built on the same "pass review" engineering behind our measured clinical system. We design to your obligations; your risk team owns the formal validation, and we provide the documentation and audit trail it needs.
Accreditation or audit on the horizon?
Bring your framework to the diagnostic. We'll map what continuous audit-readiness looks like for it.
Book a feasibility diagnosticAgents that don't just talk — they do the work.
Bespoke agents wired into the systems you already run: they read, decide, take real backend actions, and hand off to a human when it matters.
What makes ours different
- Wired into your stack — agents call your APIs, update your records, and trigger your workflows, not a sandbox.
- Multi-agent orchestration — specialized agents coordinate, with smart routing for cost and quality.
- Guardrails & QA — automated checks on every action, with anonymization and audit logging throughout.
- Human-in-the-loop — agents escalate the judgment calls instead of guessing.
Autonomous agents are powerful and easy to get wrong. We start from the workflow and the failure modes, not the hype — and we'll recommend a narrower, more reliable system when that's the right call.
Have a process an agent could run?
The diagnostic maps the workflow, the actions, and the guardrails — then prices the build.
Book a feasibility diagnosticThree packaged engagements. Stop after any one.
Start with a fixed-fee Feasibility Diagnostic — a 2–3 week assessment that tells you whether AI is worth building, what it would cost, and what the ROI looks like, before you commit.
Feasibility Diagnostic
A fixed-scope review of one workflow with a clear go/no-go.
- Workflow map of the process you pick
- Target architecture plan
- PII & compliance risk map
- Build cost & ROI estimate
- Written go/no-go — including "buy, don't build"
Build
We ship a production AI system for the workflow we validated.
- Agents & pipeline
- Integrations with your systems
- PII anonymization + encryption
- Monitoring & human handoff
- Documentation & handover
Run & Own
We keep your system current, monitored, and audit-ready.
- Monitoring & alerting
- Model & version updates
- Small enhancements
- Monthly performance report
- Trained internal owners
Indicative pricing in USD. Final figures are confirmed against scope in the Diagnostic.
What we don't do
Build when SaaS fits
If an off-the-shelf tool fits, the diagnostic tells you to buy, not build.
Ship black boxes
Every decision path is traceable. Nothing you can't audit.
Disappear after launch
The Run engagement exists because regulated systems need upkeep.
Invent results
Two referenceable systems are our only client-result claims.
Engagement FAQ
Often you shouldn't go custom — and we'll say so. Custom wins when your data can't leave your control, your workflow carries compliance rules SaaS doesn't enforce, or your edge cases are exactly what generic tools get wrong.
We're engineered in India and keep a daily overlap window with US-East and UK mornings. We over-communicate in writing — you always have a current status without waiting for a call.
You do. Deliverables, code, and documentation are yours, governed by the engagement agreement we sign before work starts.
PII is anonymized automatically before it reaches any model, encrypted at rest, and handled under a signed DPA — and a BAA for healthcare work. See Security & Trust for the full posture.
You own the code, IP, and documentation, and we deliver a runbook so no system depends on one person. We've operated since 2019, scope continuity terms into every engagement, and offer source-code escrow on request for production systems. We train your internal owners during the Run phase so the system keeps running with or without us.
Production AI in regulated industries.
Two deep engagements. Both anonymized at the client's request. Both with references available under NDA. These are the only client results we claim.
Structured Medication Review AI for a UK clinic
Automating clinical pharmacist medication reviews — a multi-step extraction pipeline scoring compliance across clinical quality domains, with NHS-grade data protection.
Lending Operations AI for a US consumer lender
A multi-agent conversational architecture with layered automated QA, middleware PII anonymization, and intelligent human handoff.
Why our case studies are anonymous — and how to verify them
These are two distinct production deployments in lending and healthcare, where vendor relationships are confidential. We protect that — the same way we'd protect you. What we can share, and what the diagnostic call leads to: the full architecture, a written note on how each metric was measured (cohort, baseline, time window), and a live reference call with the client under NDA. The metrics are the clients' own reported figures, not our estimates.
Automating structured medication reviews for a UK clinic.
How we cut clinical pharmacist review time by ~70% while strengthening data protection to NHS-grade standards.
Context
The client is a UK general practice serving thousands of patients. Their clinical pharmacists were spending 45–60 minutes per structured medication review, with a substantial review backlog. (Client anonymized at their request; reference available under NDA.)
What we built
Results
Results are the client's measured outcomes as reported to us; methodology available on a reference call. Zero missed drug interactions recorded post-deployment.
Have a clinical or document-heavy workflow like this?
The diagnostic maps it in 2–3 weeks and ends in a clear go/no-go.
Book a feasibility diagnosticA multi-agent AI system for a US consumer lender.
Loan processors now handle only exceptions; onboarding dropped from days to hours — with audit-compliant PII handling throughout.
Context
A US consumer lending company processing high volumes of applicant onboarding and servicing conversations. (Anonymized at their request; reference available under NDA.)
What we built
Results
Results are the client's reported outcomes; methodology available on a reference call.
Running lending, collections, or customer ops at scale?
The diagnostic maps one workflow against your compliance constraints.
Book a feasibility diagnosticGAIA Scrum.
Generative AI Augmented Scrum — our open-source development framework for building at AI-accelerated velocity. It's how a small team ships production software fast, to a standard, across many products at once. You reap what you sow.
The idea
Traditional Scrum was designed for human-speed development. GAIA Scrum is designed for a world where AI agents write code, open pull requests, and monitor systems — and humans focus on what they do best: vision, judgment, and stewardship.
Four principles
- Context is everything. A well-documented, well-tested codebase produces dramatically better AI output. This is the soil.
- Humans do judgment, AI does labor. The bottleneck is no longer writing code — it's deciding what to build and whether it's correct.
- Speed requires rhythm, not rigidity. Fixed sprints give way to natural development seasons.
- We are stewards of the people we build for. Every decision orients around serving them.
AI doesn't replace good engineers, and dropped into an undisciplined team it can slow them down and pile up review. The value is the system around the agents, not the agents alone — that discipline is exactly what GAIA Scrum is.
We build the AI that actually reaches production.
Most AI pilots die in review. We exist to be the rare vendor whose systems survive the audit, the regulator, and the real customer — because they were engineered for that from day one.
That's the work we chose: lending, healthcare, collections, hiring, compliance — where every output has to be right, explainable, and auditable. It's harder than shipping another wrapper around a chatbot, and it's the only AI work we think is worth doing.
Ashu T.
Ashu helps founders and businesses turn ideas into real systems, products, and growth engines. His background spans logistics, calibration labs, marketplaces, finance, investing, and AI-driven software — a practical, cross-industry read on how businesses actually work, what breaks execution, what blocks product-market fit, and what it takes to build systems that scale.
As tech lead on software for an ISO/IEC 17025–accredited calibration lab, he learned to build systems that have to pass an audit, not just a demo — the discipline behind Wofo24's regulated work today. He now focuses on using AI not as a trend but as a growth tool: from strategy and market fit to GTM, automation, and software development, helping teams move from confusion to clarity and from ideas to execution.
He's especially focused on helping non-technical founders and growing businesses use AI to build faster, operate smarter, and ship stronger companies — and created Wofo24's open-source GAIA Scrum, where AI agents handle the labor and engineers own the judgment.
Every phase ends with something you own.
We don't measure success by hours billed. The engagement ends when ownership transfers to you.
Diagnostic
A fixed-fee review of one workflow with a clear go/no-go.
Architecture plan, risk & compliance map, cost/ROI estimate.
Build
A production system for the workflow we validated, in your stack.
The running system, the code, the IP, full documentation.
Run & Own
Current, monitored, and audit-ready — and your people trained to run it.
A runbook and trained internal owners.
A real engineering shop — not a thin wrapper.
The machinery behind what we ship. Model-, cloud-, and framework-agnostic on principle: we pick the best-fit tool per task, name what we'd use in the Diagnostic, and you own all of it. Nothing here locks you in.
Agent orchestration
Multi-agent control flow with LangGraph — explicit state, routing, retries, and guardrails, not one prompt doing everything.
Evaluation & observability
Every change is traced and regression-tested (LangSmith) — we measure agent quality and catch drift, instead of guessing.
Model-agnostic, open-weight ready
Best-fit model per task, with open-weight models (via HuggingFace) self-hosted in your region where residency, cost, or control demand it. Swappable as the field moves.
AI-driven SDLC
Our open-source GAIA Scrum: agents write code and open PRs, engineers own judgment and review, with CI, automated QA, and monitoring throughout.
We name these to show the depth, not to lock a stack — the right tools for your build are confirmed in the Diagnostic. See how we build with GAIA Scrum →
The honest facts
- › Wofo24 Technologies Pvt Ltd — incorporated 2019, registered in Uttar Pradesh, India.
- › Engineering in India, clients in the US, UK and EU. Daily overlap window, written-first communication.
- › A small, senior team. You work with the people who write the code — no sales layer, no junior handoff.
- › Two production systems in regulated industries — our only client-result claims, both referenceable under NDA.
- › You own the code, the IP, and the documentation. Continuity terms in every engagement.
Want to talk it through first?
One focused call with the founder. A clear point of view, no obligation.
Book a callSecurity & data protection.
What we do today, and what's on our roadmap. No certifications we don't have. For SMB buyers we provide a documented posture and reference calls; for enterprise we support formal certification requirements.
How we handle data today
- PII anonymization — automatic de-identification strips identifiers before any data reaches a model.
- Encryption at rest — field-level encryption (AES-256).
- Encryption in transit — TLS on every connection.
- Least-privilege access — scoped credentials, no shared blanket access.
- Audit logging — every processing step is logged and traceable.
- Incident response & retention — a documented breach-notification process and a defined data retention/deletion schedule, both provided under DPA.
Data residency & cross-border
We can pin processing and hosting to a region you specify — including the UK and EU — geofence engineering access to your data, and document the full sub-processing chain for your DPIA (GDPR Article 28). For UK and EU regulated workloads we configure a region-resident deployment; only anonymized text reaches external models.
Our default delivery is from India serving US, UK, and EU clients. Where residency or data-controller obligations require it, we configure region-pinned processing and access controls and confirm the exact data-flow map in the Diagnostic, before any build.
Subprocessors
We tell clients before this list changes. Categories are shown here; the named subprocessor list is provided under DPA.
| Subprocessor | Purpose | Data category | Region |
|---|---|---|---|
| Language model provider | Language model inference | Anonymized text only | US |
| Managed model hosting | Model hosting & inference | Anonymized text only | Configurable |
| Cloud application host | Application hosting | Encrypted application data | Configurable |
| Managed datastore | State / session store | Encrypted application data | Configurable |
Frameworks & standards alignment
We design to the standards regulated buyers screen for, and we're explicit about the difference between aligned to and certified against.
| Standard | Where we are |
|---|---|
| SOC 2 Type II | In progress with an independent auditor — observation window underway. Auditor name and target report date available on request; ask for our SOC 2 readiness summary and latest penetration-test summary under NDA. |
| NIST AI RMF 1.1 | Architecture and controls designed to its MEASURE / MANAGE guidance. |
| ISO/IEC 42001 | Designed to its principles; not yet certified. |
| EU AI Act | We map high-risk use cases to obligations and support deployer documentation. |
"Aligned to" means we build to the standard's controls; "certified" means an external auditor verified it. We never blur the two. Today we hold no third-party certifications — SOC 2 Type II is the first, in progress.
Healthcare engagements — BAA
For engagements that touch protected health information, we sign a Business Associate Agreement before any PHI is processed: identifiers are stripped automatically before any model call, data is encrypted at rest and in transit, access is least-privilege, and every step is logged. We deploy on HIPAA-eligible infrastructure where the engagement requires it.
Security contact
Questions, or a security questionnaire to send? Email [email protected].
Book a feasibility call.
A 30-minute call to scope a fixed-fee Feasibility Diagnostic — and to tell you honestly if AI is the wrong tool for your workflow. No pitch.
Privacy Policy
How Wofo24 Technologies Pvt Ltd collects, uses, and protects information. Last updated June 2026.
Who we are
Wofo24 Technologies Pvt Ltd (CIN U72900UP2019PTC124858), registered in Uttar Pradesh, India, is the data controller for personal data collected through this website. For client engagements where we process data on your behalf, you are the controller and we act as your processor under a signed Data Processing Agreement (DPA).
What we collect
- Website & enquiry data — the details you submit through our contact form (work email, company, your message) and basic analytics (pages visited, approximate region, device type).
- Client project data — handled strictly under the engagement agreement and DPA, per our Security & Trust posture: PII anonymized before any model, encrypted at rest and in transit, access logged.
How we use it
To respond to your enquiry, scope a diagnostic, deliver and support engagements, meet legal and contractual obligations, and improve the site. We do not sell your personal data, and we do not use client project data to train external models.
Retention & deletion
Enquiry data is kept for up to 24 months unless you ask us to delete it sooner. Client project data is retained per the engagement agreement and deleted or returned on termination, per the DPA's documented schedule.
Subprocessors & transfers
We use a limited set of subprocessors (categories listed on the Security & Trust page; the named list is provided under DPA). Where required, we configure region-resident processing for UK/EU data and document the cross-border sub-processing chain (GDPR Article 28).
Your rights
Subject to applicable law (including UK/EU GDPR), you may request access, correction, deletion, or portability of your personal data, and you may object to certain processing. To exercise these rights, contact us below.
Breach notification
We maintain a documented incident-response process and will notify affected clients and authorities within the timelines required by the applicable agreement and law.
Contact
Privacy questions or data requests: [email protected] · Security: [email protected]
This policy reflects our current practices and is provided in good faith; we recommend your counsel reviews it against your jurisdiction's specific requirements before relying on it contractually.
Terms of Service
The terms governing use of this website. Last updated June 2026.
Website use
This website is operated by Wofo24 Technologies Pvt Ltd. By using it you agree to use it lawfully and not to misuse, disrupt, or attempt unauthorized access to it. Content here is provided for general information and does not constitute a binding offer, professional advice, or a guarantee of results.
No warranty on site content
Site content is provided "as is." Figures, timelines, and case-study outcomes are indicative and described as such; specific results depend on your workflow and are validated in the Feasibility Diagnostic.
Engagements are governed separately
Any engagement is governed by the written agreement signed before work begins. That agreement — not this website — controls scope, deliverables, fees, IP ownership, confidentiality, data processing (DPA), and liability. Where terms conflict, the signed agreement prevails.
Intellectual property
For client engagements, deliverables, code, and documentation transfer to you per the engagement agreement. The Wofo24 name, brand, and site content remain ours. Our open-source method (GAIA Scrum) is governed by its own repository license.
Limitation of liability
To the extent permitted by law, our liability arising from website use is limited; engagement liability is set in the signed agreement.
Governing law & contact
These website terms are governed by the laws of India; engagement governing law is specified per agreement. Questions: [email protected].
Provided in good faith and reflecting our current practices; have your counsel review before relying on these terms contractually.