AI agents & automation
Agents that read, decide, act across your systems and report back, for the high-volume, retry-tolerant workflows where they pay off, with the checkpoints and audit trails that keep them accountable.
All AI services
Multi-step work done by software, with a human where it matters.
What we build with it.
The shapes this work usually takes. Yours will differ; the approach won't.
Operations workflows
Onboarding, reconciliation, order exceptions and claims handling run end to end with approvals where you set them.
Research and enrichment
Agents that gather, verify and structure information from internal systems and the web.
Customer operations
Triage, resolution and follow-up across email, chat and ticketing systems.
Engineering and data ops
Runbooks, incident summaries and data-quality checks executed automatically.
Deliverables, not decks.
Everything is handed over as code, data and documentation you own. Nothing depends on us staying.
- Workflow map with decision points, tools and human checkpoints
- Agent design: planning, tool use, memory and recovery
- Integrations with your CRM, ERP, ticketing and data stores
- Approval UI and full audit log for every action
- Reliability harness: replayable runs and failure-mode tests
- Cost and rate controls per workflow
The engagement, step by step.
Pick the right workflow
High volume, tolerant of a retry, expensive in human attention. We say no to the ones that aren't.
Shadow mode
The agent proposes; people act. Every proposal is scored until the agreement rate earns autonomy.
Supervised autonomy
Low-risk steps run unattended; anything above a threshold waits for an approval.
Operate
Dashboards for throughput, exceptions and cost, with monthly reviews to widen or narrow autonomy.
Chosen per project, by score and cost.
What happens when an agent gets it wrong?
It is designed to fail visibly: every run is logged and replayable, risky actions wait for approval, and a failed step retries or escalates rather than guessing.
Will it work with our legacy systems?
Usually. We wrap APIs where they exist and build thin adapters where they don't. If a system has no interface at all, we tell you what it would take.
How much human oversight is required?
As much as the risk demands. We start in shadow mode and expand autonomy only as the measured agreement rate justifies it.
Need ai agents & automation?
Tell us the problem. We'll come back within one business day with how we'd approach it.
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brighter path.
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