Agents that perceive, reason, and act across your stack — so the work that used to take a team of humans takes minutes and costs a fraction.
We design and deploy goal-oriented AI agents that integrate with your existing tools, follow your business rules, and escalate gracefully when they hit an edge case. Built on modern LLMs with tight guardrails, audit trails, and human-in-the-loop controls — the kind of autonomy that regulated enterprises can actually ship.
What you walk away with
Running on your real data and tools within two weeks of kickoff. Not a slide deck.
A labelled test set built from your own cases, run on every release, so quality is measured.
Confidence thresholds, PII redaction and approval steps set to your risk policy.
Dashboards, alert rules and a playbook your ops team can run without us.
Each engagement is scoped to your workflow, your constraints, and your users — but these are the capabilities we bring to the table.
We start with your workflow, not the model. Agents are scoped to a job-to-be-done and wired to your APIs, data sources, and approval chains.
Replace brittle RPA scripts and manual routing with agents that read documents, fill forms, and drive processes end-to-end.
Agents that can read from your core banking, ERP, CRM, and data warehouse — and safely write back through typed, audited actions.
Every agent decision is logged, replayable, and attributable. You keep the visibility regulators, auditors, and your own ops team need.
A reference shape for a document-handling agent in a regulated business. The agent plans and reads; typed tools touch your systems; a person approves anything that writes.
A typical shape, not a template. Every engagement starts by drawing this for your systems.
An agent console for loan intake. The agent reads, cross-checks and drafts. A person makes the call.
SALARY CERTIFICATE
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Fields are pulled from scans and phone photos, each linked back to the spot on the page it came from.
Every lookup, tool call and model response sits in a timeline your auditors can replay.
Writes to core systems wait for a named approver. Nothing posts on the model's say-so.
Illustrative screens. Names and figures are sample data.
We interview your operators, shadow the workflow, and write down the success criteria in measurable terms before any model is chosen.
A working agent in your sandbox in under two weeks — using your real data, connected to your real tools, with a clear eval set.
Rollout gated behind feature flags and human approvals. Observability, fallbacks, and escalation paths are part of v1, not v2.
An agent reads, classifies, and extracts fields from uploaded KYC and income documents, flagging anomalies for a human underwriter.
Reconciliation breaks and settlement mismatches triaged automatically — with the agent drafting the resolution email for a one-click send.
Natural-language answers sourced from your knowledge base, escalated to a human with full context when confidence drops below threshold.
Yes. The gateway can route sensitive tasks to models running on your own servers, such as Llama or Mistral through Ollama, and personal data is redacted before anything leaves your network.
Agents are read-only by default. Any write to a core system goes through a typed tool with validation, and actions above your risk threshold wait for a named person to approve them.
Before building, we agree on an evaluation set drawn from your real cases and the accuracy bar for go-live. Every release is scored against it, and the scores are shared with you.
Anything with an API or a database: core banking, ERP, CRM, email and document stores. For older systems without APIs we build a thin adapter first.
A first agent running on your data in your sandbox usually takes under two weeks. Production rollout follows once it clears the evaluation bar.
Tell us where you are today and where you’d like to be. A 30-minute discovery call is usually enough for us to know if we can help — and if we can’t, we’ll point you at someone who can.