CRM data trust
Deduplicate records, repair ownership, revive stale pipeline, enrich accounts, and keep every patch behind an approval gate.
Consulting arm
AI revenue operators that ship inside your stack
We do not sell another AI SaaS seat. FSGTM embeds with your GTM team, maps the work that happens between tools, and deploys supervised agents that execute the repeatable parts — with approval gates, audit logs, and measurable before/after outcomes.
Positioning
Operational transformation, not chatbot theater
The winning message is simple: AI only matters when it changes how revenue work gets done. We turn messy GTM processes into governed operator workflows that teams can verify, approve, and keep running after the engagement.
No rip-and-replace
Agents sit on top of your existing tools
HubSpot, Salesforce, Clay, Apollo, Gong, spreadsheets, warehouses, and docs stay in place. We connect and govern the work between them.
No blind autonomy
Every write starts as a plan
Operators can read, reason, and propose. Human owners approve the change, and every action lands in a searchable audit trail.
No proof-free ROI
Outcomes get measured from baseline
We define cycle time, data quality, handoff, conversion, or cost metrics before building — then publish a reviewable before/after artifact.
Operating model
Audit → redesign → production → optimization
01
Week 1–2
AI opportunity audit
We shadow how revenue work actually moves across CRM, enrichment, calls, spreadsheets, Slack, and handoffs. The output is a ranked workflow map with baseline metrics and risk controls.
02
Week 2–4
Workflow architecture
We separate deterministic steps from judgment calls, define human-in-the-loop approvals, and design the operator with evals, logs, rollback, and model routing from day one.
03
Week 4–8
Production deployment
Agents run inside your existing stack and produce staged plans: read everything, write nothing until approved, and leave an audit trail your RevOps and IT teams can inspect.
04
Ongoing
Optimization & handoff
We tune workflows against live outcomes, document operating procedures, train owners, and leave the code, plans, and playbooks with your team.
Where we deploy first
Start with the workflows your RevOps team already hates
Pipeline operations
Route leads, flag slipped deals, assemble account context, and produce manager-ready plan queues instead of another dashboard.
Attribution & source of truth
Connect CRM, billing, spend, warehouse, and campaign data so teams stop arguing over which number is real.
Market intelligence loops
Turn public signals, competitive research, lost-deal notes, and ICP criteria into cited, reviewable GTM actions.
Proof standard
We make the work reviewable before calling it a win
Enterprise AI claims are cheap. The FSGTM standard is a review packet your buyer, operator, and technical owner can all inspect — not a black-box “AI saved 90%” claim.
- Baseline metric before work begins
- Workflow map with owners and systems
- Redacted screenshots or plan artifacts
- Before/after metric and time-to-value
- Human approval points and rollback path
- Operator quote or buyer-facing summary
Ready to scope your first AI revenue operator?
Book a working session. We’ll identify one high-volume GTM workflow, define the baseline metric, and outline what a supervised production deployment would look like.