Agentic AI built into your product.
Verified, auditable agents with real tool access and a full audit trail. They answer from cited, versioned facts, a verifier blocks anything ungrounded, and high-stakes calls route to a human.
This is something I build into your product, inside your codebase, owned by your team. Not a chatbot demo, and not a SaaS you rent.
Citation-grounded answers
Cited, versioned facts, no fine-tuning
Verifier hard-blocks
Ungrounded answers are vetoed, not penalized
Human gate
Anything uncertain escalates to a person
Replayable audit log
Replays any decision with zero model calls
Naive RAG answers confidently. A verified agent knows when to stop.
The same agent across three jobs. Flip between a naive bot and the verified agent on the same question, and watch what changes.
An agent that knows when it is unsure.
Most AI demos answer confidently, even when wrong. I build systems that ground every answer in cited facts, let a verifier and a human catch what the agent is unsure about, and leave a log you can replay.
Citation-grounded knowledge
Every answer points to a cited, versioned source your team can read and edit, searched by meaning. Nothing is baked into model weights.
Multilingual retrieval
An English question can match a German source. The right fact is found whatever language it was written in.
Real tool access
The agent calls your APIs and databases to take real actions, not paste suggestions into a chat window.
A verifier and a human decide
A second model checks every citation and constraint. Hard limits are walls, not scores, and anything uncertain routes to a person.
Built into your product
Built inside your codebase, owned by your team. No bolt-on SaaS, and you can swap cloud models for local ones when data cannot leave your network.
Replayable audit log
Every step is appended to a log that reconstructs any decision with zero model calls. A diligence asset, not a debugging afterthought.
Agents running inside real products.
This is not a thought experiment. These are agentic systems I have built into products that people depend on.
AI studio agent
An agent built into the product that turns a brief into structured, generated output, with the architecture to keep its work grounded and reviewable.
Transcription and real-time voice
AI consultation transcription and a real-time voice and chat system for a medical platform, where accuracy and traceability are not optional.
AI invoice agent
An agent that reads invoices, extracts structured data, and proposes actions, with a verifier gating anything that touches money before it lands.
What you get.
A focused build that puts one auditable agent into production inside your product, with your team able to run it after I leave.
- Agent design scoped to one high-value workflow in your product
- A cited, versioned claim store your team can read and edit
- Direct tool and API integration so the agent takes real actions
- A second-model verifier with hard vetoes and human approval for anything uncertain
- A correction loop where human reviews version the knowledge
- Durable workflows that pause for a human and resume, with a replayable audit log
- An eval harness targeting a near-zero wrong-answer rate
- Built inside your codebase, owned by your team, with knowledge transfer
Put a verified agent into your product.
Get in touch to discuss whether agentic AI fits your product.