Production AI agents and workflows for regulated teams.
We design, build and integrate AI systems that do real work inside fintech and healthcare operations: reading documents, answering questions, routing cases and automating workflows, with a human approving anything that matters.
Outcomes we deliver.
Document understanding
Extract, classify and verify information from KYC packs, claims, referrals and contracts, with confidence scores and a review queue for anything uncertain.
Chat and in-app assistants
Assistants inside your product or internal tools that handle defined tasks and hand off to a person with full context when a request leaves the script. Telephone and voice channels are covered by our AI voice agents service.
Retrieval over your knowledge
Assistants grounded in your policies, procedures and product documentation, with citations so staff can check the source before they act.
Workflow automation
Multi-step processes such as triage, enrichment and case preparation, with audit trails that show what the model saw and what it decided.
Core-system integration
Connections to your CRM, case management, EHR or core banking APIs, built to your security review rather than around it.
Monitoring and improvement
Dashboards for accuracy, latency and escalation rates, plus a regression suite so every change is measured before it ships.
Deliverables you own.
- Written scope with acceptance criteria
- Working system deployed in your environment
- Integration code and infrastructure definitions you own
- Evaluation report against the agreed criteria
- Runbook, monitoring and hand-over session
Four steps, measured at each one.
Scope
A 30-minute call and a short discovery sprint to define the workflow, the data and what 'good' means in numbers.
Prototype
A working version on your real data, in your environment, within weeks.
Evaluate
We measure it against the acceptance criteria and show you the results, including the failures.
Deploy and monitor
Production rollout with monitoring, a regression suite and either hand-over or a retainer.
What we will and won’t do.
What we work with.
Chosen per engagement, never by default. No vendor logos because we are not paid by any of them.
Who this is for.
- Operations teams drowning in documents or inbound requests
- Product teams who need an AI feature that will pass a compliance review
- Companies that tried a generic tool and found it does not know their domain
Common questions about custom ai solutions.
Build or buy: when does custom make sense?
Buy when an off-the-shelf product already covers your workflow and your data can leave your environment. Build when the workflow is specific to you, the data is sensitive, or you need evidence of behaviour that a vendor will not give you. The discovery sprint answers this question honestly, even if the answer is 'buy'.
Which models do you use?
Whatever the task and your constraints call for. We benchmark frontier APIs against open-weight models on your data during the prototype and recommend based on accuracy, cost, latency and data-residency requirements. You are never locked to one provider.
Where does the system run?
In your cloud account or on your infrastructure by default. We can host for small pilots if you prefer, but production systems in regulated environments belong with you.
How does the human hand-off work?
Every agent has explicit boundaries: what it may do, what it must escalate, and what it must never attempt. When a case crosses a boundary, the agent routes it to a person with the full history attached. Hand-off rates are tracked so we can widen or narrow the boundaries with evidence.
How long does it take?
A discovery sprint is one to two weeks. Pilots typically run four to eight weeks. Full builds depend on integrations and review cycles, usually six to twelve weeks. We publish the timeline in the scope before work starts.
Tell us what you're trying to ship.
Thirty minutes with the founder. We'll tell you honestly whether we're the right team, and what it would cost.