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RevenueOS AI-NATIVE REVENUE OPERATIONS

Turn GTM complexity
into measurable revenue.

OpsMetric connects your systems, turns data into visibility, and helps teams turn GTM strategy into revenue.

See if this sounds familiar Find where your revenue leaks First diagnostic in 14 days
DISCONNECTED GTM
CRMMARKETINGSALES PRODUCTCS
↓
OPSMETRIC
CONNECT INTEGRATE ORCHESTRATE
↓
WHAT YOUR TEAM GETS
DATA VISIBILITY STRATEGY WIN
Revenue systems built with teams at
SOUND FAMILIAR?

Your CRM has data.
Your GTM needs answers.

Twelve sentences we hear in almost every first call. Tick the ones that sound like your business.

0of 12
Tick the ones you recognise. Most teams stop at three.
RevenueOSTHE OPERATING SYSTEM

Market to revenue. One unbroken chain.

Eighteen steps sit between a market you've defined and a number your board believes. Most companies measure four of them — so every number downstream inherits somebody's guess.

THE DATA-BACKED DECISION92% forecast confidence
WHAT ISN’T VISIBLE18 steps · random acts costs $ revenue.
01 MARKETIntelligence
  • TAM / SAM
  • ICP & personas
  • Database intelligence
02 DEMANDIntelligence
  • Campaign strategy
  • Lead generation
  • Lead scoring & routing
03 QUALIFYIntelligence
  • BDR qualification
  • AI L1 call scoring
  • SQO
04 PIPELINEIntelligence
  • Stage intelligence
  • MEDDPICC / deal intelligence
  • Trial / POC
05 CLOSEIntelligence
  • Deal desk / commercials
  • Forecast intelligence
  • Closed won
06 REVENUEIntelligence
  • ARR / revenue
  • Executive, board & investor intelligence
  • Funding & data-room readiness
18 CONNECTED STEPS EVERY METRIC INHERITS FROM THE ONE ABOVE IT

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.

2×
Qualified pipeline
More pipeline worth working. Full-market coverage, sharper targeting and campaigns that compound instead of restarting each quarter.
+30%
Discovery call to qualified opp
More first calls turn into real opportunities. AI scoring, tighter qualification and coaching aimed at the gaps it exposes.
+18%
Win rate
More of what you work, you win. Qualification discipline, stage governance, deal intelligence and structured trials.
−30%
Data acquisition cost
The same data, for a third less. Vendor mix, dedupe discipline and automated enrichment, benchmarked on real before-and-after spend.
What we offer to move in every engagement
Full account & persona coverage ✓ Data completeness ↑ Contactability ↑ Duplicates ↓ Forecast predictability ↑ Forecast variance ↓ Manual ops hours ↓ CRM adoption ↑ GTM stack cost ↓ Reporting effort ↓ Validated data migration ✓ ROI measured from your baseline ✓

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.

OPSMETRIC · ENGINESMARKET TO REVENUE
6engines, market to revenue
18connected steps
1number everyone works from
EACH RUNS ON LIVE DATAStart the diagnostic →
01

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 data
ICP coverage ↑Buying-committee coverage ↑Whitespace identified ↑Contactability ↑Duplicates ↓
02

Demand & 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 SQOs
Qualified pipeline ↑Cost per SQO ↓Discovery call to SQO ↑L1 score ↑MEDDPICC coverage ↑
03

Pipeline & 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 revenue
Stage conversion ↑Velocity ↑Win rate ↑Forecast accuracy ↑Slippage ↓
04

Seller 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 growth
Pipeline per AE ↑Attainment ↑Ramp time ↓Capacity coverage ↑
05

GTM 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 engine
CRM adoption ↑Manual ops hours ↓Systems of record ↓Stack cost ↓
06

Revenue 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 truth
ARR ↑Reporting time ↓Decision speed ↑Attainment ↑

Not sure which engine you need first?

That is the diagnostic's job — two weeks, and the six come back ranked by what each is costing you now.

Rank them for my business

Migrate 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.

BEFORE · FRAGMENTED STACK
SalesforcePardotHubSpot MarketoZoomInfoLegacy BI Spreadsheet forecastSales NavigatorSecond CRM instance
Annual licence spend$500K+
Systems holding the same record4
CRM adoption46%
  1. 01Audit & mapEvery object, field, workflow and licence
  2. 02MigrateHistory preserved, validated, parallel run
  3. 03OnboardRole-based training, playbooks, adoption tracking
  4. 04OptimiseLicence right-sizing and vendor renegotiation
AFTER · ONE GTM HUB
GTM HUBCRM · data · workflows · AI agents
MarketingSalesDeal deskFinanceCSBoard reporting
Effective stack cost−32%
Systems of record1
CRM adoption94%
6–10 WEEKS VALIDATED DATA MIGRATION PARALLEL RUN BEFORE CUTOVER ROI MEASURED FROM BASELINE

Most teams find the first leak in week one.

Two weeks, inside your own data, and you keep the output either way.

Start the 14-day diagnostic

How we work, and three ways to start.

Every engagement runs Diagnose, Design, Build, Automate, Scale — in that order, each phase ending with something in production. Where you enter depends on what you already know.

Every engagement runs the same five phases
01

Diagnose

Two weeks inside your CRM, funnel and forecast. You get every leak named, sized and put in order.

02

Design

The target operating model: metric definitions, stages, data model, cadence and ownership.

03

Build

CRM, dashboards, forecast model and deal desk shipped and running against live data.

04

Automate

AI agents and workflows take over the assembly work — reporting, hygiene checks, deal signals.

05

Scale

Operating cadence, quota and capacity models, and an internal team trained to run it without us.

Where you start depends on what you already know
01

Diagnostic

14 DAYS · FIXED SCOPE

If you suspect something is broken but can't name it. Two weeks inside your data, ending in a 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
Start here
02

RevenueOS Build

6–10 WEEKS · MOST COMMON

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
Scope a build
03

Fractional RevOps

ONGOING · MONTHLY

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
Talk it through

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.

ForecastingPipeline governanceAOPDeal deskCRM transformationBoard reporting

Engagement profile

ModelBuild, automate, hand over
Company stage$0–100M ARR
We report toCEO · CRO · CFO · CMO
First diagnostic14 days
Full engine build6–10 weeks
Core stackHubSpot · Salesforce · Marketo
AnalyticsPower BI · SQL · Excel
AI layerClaude · Notion
CoverageUS · EMEA · APAC
14 DAYSFIXED SCOPENO SYSTEM CHANGES

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

DAYS 1–3Access and baselineRead-only access to CRM, marketing automation and reporting. We measure where you actually are today.
DAYS 4–8Funnel and forecast teardownStage conversion, aging, velocity, data health, forecast variance and reporting effort, quantified against your own numbers.
DAYS 9–12Leak analysisEach gap sized in pipeline or revenue terms, then ranked by cost and effort to fix.
DAYS 13–14ReadoutA 90-minute session with your leadership team, and the written plan in your hands.

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?+
Read-only access to your CRM, marketing automation and reporting layer is enough for the diagnostic. No configuration changes, no writes, no contact with your customers. We work inside your tenancy under your security policies, and we'll sign your NDA and DPA before anything is shared.
How is this different from hiring a RevOps manager?+
A hire takes three to six months to find and another quarter to ramp, and they arrive without a system. We arrive with one. The usual sequence is that we build the operating model and the infrastructure, then your hire runs it — walking into a functioning engine rather than a blank CRM.
We already have HubSpot or Salesforce. Do we have to replace it?+
Almost never. The problem is rarely the platform — it's the data model, the stage definitions and the governance sitting on top of it. We rebuild those inside what you already own. Migration only comes up when you're running two systems of record in parallel, which is its own kind of expensive.
What size company is this for?+
B2B companies roughly between early revenue and $100M ARR, with a sales team large enough that inconsistency costs real money. Below a handful of sellers, a good spreadsheet and discipline will outperform anything we'd build.
How quickly does anything actually change?+
The diagnostic delivers in 14 days. The first engine usually ships inside three weeks of a build starting, because we sequence by what's leaking most rather than what's easiest. Full builds run six to ten weeks depending on data condition and how many systems are in play.
What happens when the engagement ends?+
You own everything: the models, the dashboards, the automations and the documentation. Your team is trained on all of it during the build rather than at the end. We're structured so that you can stop working with us without anything breaking.

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.

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