Automation2025
AUTOMATIONService
Automation & Intelligent Workflows
Turn time-sensitive, repetitive tasks into streamlined, AI-powered workflows.
- 70% of volume automated
- 6 wks to first path live
- 24/7 monitored throughput
Service details
Repetitive work handed over, judgement kept
Automation fails when it is designed for the happy path. We trace the real workflow first — including the workarounds nobody documented — then hand the repetitive share to agents and keep your people on the judgement calls.
Process discovery
We trace the real workflow, including the workarounds nobody documented.
Agent orchestration
Long-running workflows that retry, resume and report rather than silently fail.
Human-in-the-loop
Low-confidence cases route to a person, and their decision feeds back in.
System integration
Writes into the systems you already run, no parallel source of truth.
Exception handling
The awkward 10% is designed for first, not bolted on afterwards.
Operational telemetry
Throughput, error and override rates visible from the first day in production.
The awkward 10% designed for first
Exceptions are where automation usually breaks. We route low-confidence cases to a person before anything commits, and every automated action is logged and reversible.
- Confidence thresholds per step
- Review queue your team will actually use
- Full action log, exportable
How we work
How we work
Fixed-scope engagement. The first path runs in production by week six.
- WEEK 1
Trace
We sit with the team doing the work and map each step, handoff and exception.
- WEEKS 2-3
Automate one path
The highest-volume path goes first, end to end, in production.
- WEEKS 4-5
Widen
Adjacent paths and exceptions are folded in once the first is stable.
- WEEK 6
Hand over
Runbooks, dashboards and the on-call story transferred to your team.
Related projects
Workflows we’ve automated
Will this replace our team?
It removes the repetitive share of the work. People stay on the judgement calls, which is where the exceptions and the value are.
What if the automation gets something wrong?
Low-confidence cases route to a person before anything commits, and every automated action is logged and reversible.
Does it need a new system?
No. It writes into the tools you already use, so there is no second place to check.
How do we measure it?
Throughput, error rate and human-override rate are on a dashboard from day one, against the baseline we take before starting.
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