LocusPhiDeployed AI workflows and agents, operated, monitored and improved as an ongoing service.
Once an AI workflow or agent is live, someone has to watch how it's actually performing, catch drift before it causes a problem, tune it as your business changes, and extend it as new cases show up. We take that on as an ongoing managed service — so what we build for you keeps working, keeps improving, and doesn't quietly go stale six months after launch.
The workflow
Most AI deployments are treated as a one-time project: build it, ship it, move on. In practice, workflows drift — the data changes, edge cases pile up, a connected system updates its API — and without anyone actively watching, accuracy degrades quietly until someone notices the outcomes are wrong. Few internal teams have the bandwidth or the specialised tooling to monitor AI reasoning day to day.
How we operate, monitor, optimize and extend a live workflow
Where it fits
Illustrative applications across common business functions — not a list of confirmed client deployments.
Before
- AI workflow deployed once and left alone
- No one watches accuracy over time
- Drift discovered only after outcomes go wrong
- New edge cases pile up as manual overflow
- No clear owner for tuning or improvement
After
- Every run traced and evaluated against a benchmark
- Drift caught and corrected before it causes a problem
- Changes versioned, tested and approved before deployment
- New cases folded into the workflow as they appear
- Regular reporting on performance and recommendations
How we deliver it
Operate
We run the deployed workflows and agents day to day, within the approval boundaries and business rules already configured.
Monitor
Every run is traced and evaluated against a defined accuracy benchmark, with alerting when performance drifts or a new failure pattern appears.
Optimize
We tune prompts, rules and retrieval as your data, systems and edge cases evolve — versioned and tested before anything changes in production.
Extend
As new use cases or exceptions show up, we extend the workflow or agent to cover them, rather than leaving them as permanent manual overflow.
Report
You get regular visibility into what's running, how it's performing, what changed, and what we recommend next.
Technology choices
The specific tools and frameworks we use to build and run this — selected per project, not fixed to one vendor.
Orchestration & workflow
Observability & evaluation
Alerting & operations
Models
What changes for your team?
These are value dimensions we design for, not guaranteed figures. Any metric shown elsewhere is illustrative unless labelled as based on client or project data.
We don't hand off a workflow and disappear. Operating, monitoring and improving what we build is part of how we deliver it — the same way production software is maintained, not shipped once and abandoned.
Works with your systems
Configured for your business
We configure this solution around the way your organisation already operates.