SV-28 / SERVICES
AI agents that take on defined jobs in your business
An AI agent is software that works towards a goal using language models and tools. Used well, agents can triage inboxes, research accounts, reconcile records, prepare reports or resolve routine support requests.
An AI agent is software that works towards a goal using language models and tools. Used well, agents can triage inboxes, research accounts, reconcile records, prepare reports or resolve routine support requests. We build specific, dependable agents for specific jobs, rather than vague assistants that try to do everything.
What’s included
- Job definition: inputs, outputs, tools, success criteria and escalation rules
- Agent examples: support triage, lead research and enrichment, document processing, reporting, data reconciliation and IT service desk
- Integration with your systems through APIs and connectors, including emerging standards such as the Model Context Protocol where useful
- Memory and context handling so agents work with relevant history
- Approval steps, audit logs and role-based permissions
- Testing against historical cases before the agent touches live work
- Dashboards showing agent activity, outcomes and cost
Best for
Teams with well-defined, repetitive knowledge work and the data to support it, and businesses wanting a measured step beyond chatbots.
How we work
- Pick one job. 2) Define success and boundaries. 3) Build, test on historical cases, then run alongside people. 4) Go live and review performance regularly.
What you receive
Deployed agent, test results, permission model, monitoring dashboard and runbook.
The result
Routine work handled consistently, with your people involved where judgement matters.
Frequently asked questions
Can an agent act without approval?
Only where you choose to allow it. We usually begin with approvals on, then relax them for low-risk actions as accuracy is demonstrated.
What does it cost to run?
Running costs depend on volume and model choice. We provide a cost model and put controls in place to keep spend predictable.