Intelligence
AI Agent Development & Intelligent Automation Services
An agent is only trustworthy when every action it can take is defined, permissioned, logged and reversible.
Overview
Where this fits
Automation stops being useful when the exception rate rises. Agents help because they can interpret unstructured input and choose between defined tools — within limits you set.
We build agents with explicit tool contracts, human approval gates on consequential steps, and a complete trace of every decision.
What we build
Delivery within ai agents & automation
Task agents
Bounded agents that triage, enrich, route and complete repetitive work.
Workflow automation
Event-driven pipelines across email, documents, CRM and internal systems.
Human-in-the-loop reviews
Queues where a person approves, edits or rejects before anything commits.
Agent observability
Traces, cost per run, success rates and failure replay.
Problems we solve
What usually brings clients here
- 01Teams spending hours on copy-paste between systems.
- 02Rule-based automation that breaks on every unusual case.
- 03No audit trail for automated decisions.
- 04Runaway automation with no cost or rate control.
Key capabilities
What is included
- Tool and function definition
- Planning and multi-step execution
- Approval gates and escalation
- Retries, timeouts and idempotency
- Run tracing and replay
- Cost and rate governance
Agents
Tool-calling LLMs, orchestration frameworks, state machines
Runtime
Queues, durable workflows, scheduled jobs
Control
Permissions, approval queues, kill switches
Insight
Run traces, evaluation, cost dashboards
Use cases
Where it makes the biggest difference
Inbox triage
Classifying inbound requests, extracting details and creating structured records.
Order and claim processing
Validating, matching and progressing cases with exceptions escalated.
Research and enrichment
Gathering and structuring information into a reviewed dataset.
Our approach
How the engagement runs
01
Scope
Pick one high-volume process and define done, safe and out-of-bounds.
02
Instrument
Expose the systems involved as clean, permissioned tools.
03
Pilot
Run in shadow or approval mode and measure against the human baseline.
04
Widen
Expand autonomy only where the metrics justify it.
FAQs
Questions we are asked
Will an agent act without oversight?
Only where you decide it should. Consequential actions default to an approval step until metrics justify autonomy.
What if it makes a mistake?
Actions are logged, reversible where possible, and every run can be replayed to find the cause.
How do you control cost?
Per-run budgets, model routing, caching and dashboards that attribute spend to each workflow.
Planning ai agents & automation?
Let's scope it properly.
Tell us the problem, the constraints and the deadline. We will come back with an approach, not a brochure.