Turn GTM complexity
into measurable revenue.
We build RevenueOS — the operating system behind predictable B2B revenue. Forecasting, pipeline governance, CRM architecture and automation, connected end to end.
Your CRM has data.
Your GTM needs answers.
Eight sentences we hear in almost every first call. If three or more are yours, the problem is the system underneath the team — not the team.
“We have the best GTM tools and systems. They don’t interact or integrate.”
“We know our accounts. We don’t have quality coverage inside them.”
“Leads and opportunities are falling through the cracks.”
“We have pipeline. We don’t know how much of it is real.”
“We start the quarter with full pipeline coverage. We finish 50% below target.”
“Forecasting still depends on spreadsheets and gut feel.”
“We bought AI. It hasn’t changed how RevOps and enablement actually operate.”
“We have a proven product and a big vision. Our RevOps isn’t ready for the next fundraise.”
The same revenue team, before and after.
Drag the handle. Same market, same sellers, same quota — only the wiring underneath changes.
Market to revenue. One unbroken chain.
Seventeen steps sit between a market you've defined and a number your board believes. Most companies measure four of them. RevenueOS connects all seventeen, so every metric downstream inherits the truth from the one above it.
- TAM / SAM
- ICP & personas
- Database intelligence
- Campaign strategy
- Lead generation
- Lead scoring & routing
- BDR qualification
- AI L1 call scoring
- SQO
- Stage intelligence
- MEDDPICC / deal intelligence
- Trial / POC
- Deal desk / commercials
- Forecast intelligence
- Closed won
- ARR / revenue
- Executive & board intelligence
Why a connected revenue engine is worth it.
Two kinds of numbers. The four below came out of real engagements. Everything after them is a direction we work to move, measured from wherever you start.
Six engines. Each ships as working infrastructure.
We start where the gap is widest. Every engine runs against live data, and your team owns it at the end — nothing here is a slide. The metrics under each one are what we track and move.
Market & Data Intelligence
TAM and SAM sizing, ICP definition, segmentation, territories and named accounts — then depth inside them: every buying-committee role mapped, enriched, deduped, reachable and governed.
Right market, trusted dataDemand & Qualification Intelligence
Campaign strategy, ABM, attribution, intent, lead scoring and routing — then AI scoring on first calls, MEDDPICC discipline and champion identification at the handoff.
More pipeline, better SQOsPipeline & Forecast Intelligence
Stage conversion, aging, velocity, deal scoring and stalled-deal detection, feeding commit, best case and upside with rep forecast measured against AI forecast.
Predictable revenueSeller Performance & Revenue Planning
Rep scorecards, call coaching and enablement gaps on one side; annual planning, capacity, territories, quota and compensation design on the other.
Efficient growthGTM Systems & AI Automation
CRM architecture, integrations, the GTM hub, workflows and AI agents that take over report assembly, hygiene checks, deal signals and alerting.
One connected GTM engineRevenue Command Center
CEO, CRO, CFO and CMO dashboards covering ARR, pipeline, forecast, funnel and productivity — plus the board and business-review packs that run your operating cadence.
One source of revenue truthMigrate the stack. Onboard the team. Cut the spend.
Most GTM stacks grow by accident: a tool per problem, four systems holding the same record, a licence bill nobody has audited in two years. We consolidate it, migrate the data intact, and get the team actually using what's left.
- 01Audit & mapEvery object, field, workflow and licence
- 02MigrateHistory preserved, validated, parallel run
- 03OnboardRole-based training, playbooks, adoption tracking
- 04OptimiseLicence right-sizing and vendor renegotiation
Most teams find the first leak in week one.
The diagnostic is fixed scope, read-only, and yours to keep whether or not we build anything together.
How the engine gets built.
A sequence, not a retainer. Every phase ends with something in production.
Diagnose
Two weeks inside your CRM, funnel and forecast. You get a ranked list of what's leaking and what it costs.
Design
The target operating model: metric definitions, stages, data model, cadence and ownership.
Build
CRM, dashboards, forecast model and deal desk shipped and running against live data.
Automate
AI agents and workflows take over the assembly work — reporting, hygiene checks, deal signals.
Scale
Operating cadence, quota and capacity models, and an internal team trained to run it without us.
Three ways to work with us.
Every engagement starts with the diagnostic. What follows depends on whether you need the system built, or the system built and run.
Diagnostic
If you suspect something is broken but can't name it. Two weeks inside your data, ending in a ranked, sized list and a 90-day sequence.
- Baseline scorecard across all six engines
- Leaks ranked and sized in pipeline terms
- GTM stack and licence assessment
- 90-minute leadership readout
RevenueOS Build
If you know what is broken and need it fixed properly. We build the engines the diagnostic prioritised, ship them live, and train your team to run them.
- CRM architecture and data model rebuilt
- Forecast model, pipeline governance, deal desk
- Executive and board reporting automated
- AI agents for reporting, hygiene and deal signals
- Handover, documentation and team enablement
Fractional RevOps
If you need the seniority but not the headcount. RevOps leadership on retainer, running the cadence and owning the forecast as you scale.
- Weekly forecast and pipeline reviews
- AOP, quota, capacity and territory cycles
- Board and investor reporting packs
- Continuous stack and automation optimisation
Built by operators who carried the number.
OpsMetric is a revenue operations company. The work behind it comes from a decade inside high-growth B2B SaaS and AI businesses — as the team accountable for the number, not the agency advising on it.
We've built the RevOps function from zero. We've sat in the forecast call when the number was short. We've produced the analytics that went into investor diligence.
So we know which shortcuts hold, and which ones fail the moment you scale.
Every engagement ends with your team owning the system, not renting it from us.
Less reporting. More operating.
Engagement profile
The 14-day RevenueOS diagnostic.
Every engagement starts here. Two weeks inside your data, and you leave knowing where revenue is leaking, what each leak costs, and which fix pays back first. Yours to keep either way.
How the two weeks run
What you walk away with
- A baseline scorecard across market, data, demand, pipeline, forecast and systems
- Your revenue leaks, ranked and sized in pipeline terms
- Forecast variance and data health measured, not estimated
- Manual reporting hours counted and mapped to automation candidates
- A 90-day build sequence with owners and effort estimates
- A GTM stack assessment with consolidation and licence savings
Questions we get before the first call.
If yours isn't here, ask it in the form below and you'll get a straight answer rather than a brochure.
What access do you need, and is it safe?+
How is this different from hiring a RevOps manager?+
We already have HubSpot or Salesforce. Do we have to replace it?+
What size company is this for?+
How quickly does anything actually change?+
What happens when the engagement ends?+
Find where your revenue engine is leaking.
Fourteen days inside your data. You leave with the leaks sized, ranked, and sequenced.
Prefer email? Write to hello@opsmetric.ai and we'll reply within a working day.