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GAT.
Composite case · Scoped Build

A consulting firm fixes the coordination layer and ships AI agents into the stack it already runs.

A B2B consulting firm fixes the coordination layer choking its ops team and ships AI agents into the stack it already runs, no migrations.

  • $32M revenue
  • 110 employees
  • B2B consulting
Composite · Illustrative

Composite engagement. Representative of GAT's work; details illustrative. Not a real named client.

47 → 31 days
Sales cycle
43% → 18%
Ops coordination work
9 → 5.5 months
New-hire ramp
3
Agents shipped into existing stack
01
Client context

This composite is a $32M B2B consulting firm with about 110 employees. Roughly 43% of the ops team's week went to coordination work, moving information between consultants, clients, and PMs, not analysis or judgment. A six-figure Copilot rollout sat at 23% adoption with no measured productivity gain, and a tribal-knowledge wall stretched new-hire ramp to nine months. Leadership needed a defensible revenue-per-employee thesis, not another tool pilot.

02
The problem
  • 01 About 43% of the ops team's week goes to coordination work, moving information between consultants, clients, and PMs, not analysis or judgment.
  • 02 The average sales cycle is 47 days, with about 23 of those days idle time waiting on internal handoffs: scope writing, pricing approval, legal, resource assignment. Buyers go cold rather than say no.
  • 03 A six-figure Copilot rollout sits at 23% adoption with no measured productivity gain, because it tells individuals to write faster when the bottleneck is between people.
  • 04 A tribal-knowledge wall between senior and junior consultants stretches new-hire ramp to 9 months, because how-we-actually-staff-this is never written down.
  • 05 Leadership needs a defensible revenue-per-employee thesis, not another tool pilot.
03
GAT's approach
Diagnose (4 weeks)

Map the lifecycle, then design AI-native roles.

Mapped the engagement lifecycle decision flow, inventoried tribal knowledge, and designed AI-native roles where ops people move from integration layer to judgment layer, with a 90-day execution plan.

Build (8 to 12 weeks)

Ship into the existing stack, no migrations.

Shipped three agents into the existing stack, Slack, CRM, document store, project management, with no migrations and a shadow-run period before cutover.

Agent · Intake

Engagement intake to SOW drafter.

An agent captures the discovery transcript, drafts the SOW and pricing rationale, and routes to a partner for review, removing idle internal-handoff days from the sales cycle.

Agent · Status

Status-update synthesizer and ramp KB.

Pulled from project management and chat to draft weekly client updates for PM review, and captured tribal knowledge from senior consultants into a shared KB that new hires and the agents both work from.

Train

Embedded training, three tiers.

Partners saw agents in their workflows, PMs ran the review queues, and consultants used the KB live during ramp, no separate workshop.

In their words

We'd spent real money on a tool nobody adopted. The agents shipped into Slack and our CRM in a few weeks and actually moved the sales cycle. That's the difference between a tool and a workflow.

VP of Operations, composite client
04
Measurable outcomes
47 → 31 days
Sales cycle, idle internal-handoff days removed (illustrative).
43% → 18%
Ops coordination work, capacity redeployed to client-facing and analytics work (illustrative).
9 → 5.5 months
New-hire ramp, tribal knowledge captured into a queryable KB (illustrative).
3
Agents shipped into the existing stack, no migrations.
Scoped Build

Want agents in the stack you already run, not another pilot?

First call is 30 minutes. We map the coordination layer, then scope the build.