AI inside revenue execution
Put AI to work inside the revenue system you already have.
LYNR finds the GTM workflow worth changing, fixes the process and data behind it, deploys AI or automation into your existing stack with defined human controls, measures the result and hands the system back to your team.
AI is a deployment capability inside senior revenue execution — not a separate automation agency.
Find
workflow + value
Prepare
process + data
Deploy
existing stack
Control
human boundaries
Measure
baseline + outcome
Hand back
owner + docs
See it in a real workflow
Pick the workstream. See what AI changes — and what stays human.
Current work
Form arrives. Enrichment, qualification and routing handled manually or inconsistently.
Context
ICP definition, lifecycle stages, routing rules and trusted CRM fields.
AI / automation
Enrich the record, classify fit, then recommend or execute the route within permission.
Human control
Exceptions and low-confidence decisions are reviewed by a named person.
Operating outcome
Faster response, SLA adherence, cleaner CRM, one owner for the workflow.
How you buy it
No separate AI rate card. Start with the commercial problem.
Problem or use case unclear
Signal
Diagnose which workflow is worth changing, whether the operating conditions are ready, what controls are required and how commercial impact would be measured.
See Signal →Workflow already clear
Scope it as a Sprint
The AI or automation workflow is included inside a fixed-scope Sprint with a written Definition of Done, implementation path, controls, QA, measurement and handback.
Focused Sprints from £22,500.
Compare Sprints →Production standard
A workflow is not ready because the demo worked.
01
Trusted context
02
Defined authority
03
Safe operation
04
Owned outcome
Handback
The workflow belongs to your team when we leave.
Working workflow
Controls
Documentation
Named owner
Measurement baseline
No permanent managed-service dependency is assumed. Any ongoing Orbit support is optional and separately scoped for QA, governance and adoption — not for keeping a fragile workflow alive on the client's behalf.
Bring one GTM workflow you want AI to run.
Twenty minutes is enough to say whether it is deployable now, needs the operating conditions fixed first, or is not worth automating at all.