AI agents and agentic workflows
Agents that take real actions across your tools, with approvals and an audit trail.
We build AI agents that go beyond chat: they plan multi-step tasks, call your systems through tools and APIs, and complete work like triaging tickets, reconciling records or drafting and filing documents. Agentic workflows run with human-in-the-loop approvals at the points that matter, plus logging, retries and spend limits so autonomy stays safe and auditable.
Included in this service
Multi-step orchestration
Agents that decompose a goal into steps, use tools and recover from errors, not single one-shot prompts.
Tool and system integration
Secure connectors to your CRM, helpdesk, email, databases and internal APIs so agents can actually act.
Human-in-the-loop control
Approval gates on consequential actions, with the agent pausing for sign-off before it commits.
Audit and guardrails
Full action logging, rate and spend limits, and scoped permissions so every step is traceable and bounded.
A clear path from problem to outcome
The same disciplined cycle every time, so you always know what is happening next.
Frame and qualify
We pin down the business outcome, the data you already hold and the constraints (latency, budget, privacy, residency). We agree success metrics up front, an offline accuracy or quality target plus a business KPI, so we build something measurable, not a demo.
Prototype on your data
We build a working proof of concept against a representative slice of your real data, not a public dataset. You see honest numbers early: retrieval quality, model accuracy, cost per request and failure cases, so the go or no-go decision is evidence based.
Engineer for production
We harden the prototype into a reliable system: data and feature pipelines, evaluation suites, access controls, observability and CI/CD. We integrate with your stack and put guardrails and human review where the cost of an error is real.
Deploy, monitor and improve
We ship to production, instrument it and watch for drift, regressions and cost creep. You get clear documentation, a retraining or re-indexing routine and an evaluation baseline so quality holds up and you can improve it over time.
More AI & Machine Learning capabilities
RAG assistants on your data
AI assistants that answer from your own documents, with citations you can verify.
Custom ML models
Models built for your data and your problem, evaluated honestly before they ship.
LLM fine-tuning and prompting
Tune large language models to your voice, format and domain, the efficient way.
Build it right.
Secure it for good.
Tell us what you're building or securing. We'll bring the engineers, the security team and the trainers, plus a clear, costed plan to get you there.
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