— Service
AI Agents
Bounded, monitored software that takes action on your behalf — inside guardrails you define.
01
Who this is for
Teams who want work actioned, not just classified, and who accept that autonomy needs limits and logging.
02
Examples
01Drafting replies for approval rather than sending blind
02Updating records across systems after a defined trigger
03Chasing missing information on a schedule
04Preparing a recommendation for a human decision
03
How implementation works
We define the action space explicitly, add approval gates for anything consequential, and log every action taken so it can be audited and reversed.
04
Constraints & scope
We do not deploy open-ended autonomous agents against production data. Actions are enumerated, permissioned and reviewable.
05
Typical engagement
Typically scoped as an Operations AI Build, after an Opportunity Audit establishes what can safely be delegated.
Other capabilities
AI Automation — replacing manual, repetitive steps in a workflow with AI-assisted processing.
AI Workflows — multi-step operational pipelines that combine AI decisions with business rules.
Custom AI Systems — purpose-built AI infrastructure for a specific operational problem.
Business Automation — connecting the software you already run so work stops falling through gaps.
Custom Software — internal tools and applications built around how your team actually works.
Websites & Web Apps — production front-ends for the systems above, or standalone.