§ 01 — AI-Driven RevOps

Revenue operations, run on AI.

Most revenue teams are not missing a strategy for AI. They are missing someone who has done it before and can sit alongside them while they do it. That is what this engagement is.

§ 02 — What this is

This is consulting work. Advisory. Retainer. Not a fixed build.

We work with GTM and RevOps leaders who need to decide where AI belongs in their revenue engine, how to sequence the interventions, and what done looks like — so the CFO will underwrite it and the CTO will not block it.

If you want us to build the system, that is a separate engagement: see the Engineering page for the fixed-fee build motion. This page is for the advisory work that typically runs before, alongside, or after a build.

§ 03 — What the engagement covers

Five things we do under this engagement.

01
Bottleneck diagnosis — Map your revenue engine against a twelve-dimension framework. Identify where human time is substitutable by a model and where it is not. Produce a written assessment the leadership team can act on.
02
Intervention sequencing — Rank candidate AI systems by dollar value and implementation risk. Produce a written sequence — not a deck, a document — that the leadership team can ratify and the finance team can underwrite.
03
Vendor and build decisions — For each intervention: build, buy, or configure. We evaluate the options, document the reasoning, and give you a recommendation with the trade-off matrix that produced it. We do not take referral fees.
04
Implementation oversight — Weekly checkpoint during any active build — whether the builder is us, an internal team, or another firm. We read the code, the data contracts, and the evaluation harness. We tell you when it is going wrong before it ships.
05
Steady-state advisory — Monthly retainer for teams that want a standing technical review of their AI revenue stack as it matures. Scope, model drift, cost, coverage — reviewed on a cadence.
§ 04 — What we do not do

We do not run the build ourselves under this engagement. That is the engineering motion, and it carries its own scope, fee, and timeline.

We do not produce slide decks as deliverables. Every output is a document you can act on, store, and hand to a successor.

We do not sell software. We do not take commission from vendors we recommend.

We do not run a nurture sequence. If the engagement fits, we will say so. If it does not, we will say that too.

§ 05 — Who this is for
StageSeries A to Series C. $5M–$100M ARR.
TeamA RevOps lead or VP GTM who owns the roadmap but does not have a trusted technical counterpart to pressure-test it.
TriggerAn active or planned AI initiative that needs a second set of eyes before budget is committed or a vendor is signed.
Not a fitTeams looking for a managed service, a SaaS subscription, or an outsourced RevOps function.
§ 06 — Questions

Common questions about the consulting engagement.

01
What is AI-driven Revenue Operations consulting? — An advisory engagement for GTM and RevOps leaders sequencing AI interventions in their revenue engine. The deliverable is a set of written documents — bottleneck assessment, intervention ranking, vendor and build decisions — not a deck. It is not a managed service.
02
What is the difference between consulting and the engineering build? — Consulting produces the decisions: which systems to build, in what order, at what cost. Engineering produces the software. Many clients run both in parallel; each engagement is scoped and priced independently.
03
Do you take referral fees from vendors you recommend? — No. Vendor and build recommendations are independent. FusedLabs documents its reasoning and provides the trade-off matrix; it does not take commissions from any tool it evaluates.
04
What does a typical consulting engagement look like? — Typically: a bottleneck assessment in the first two weeks, an intervention sequence and vendor decision document in weeks three through six, and implementation oversight or steady-state advisory after that. Cadence and scope are fixed at the outset.
§ 07 — Begin

Have a revenue system to fix?