What We Build - Revenue Operations Services
Most companies do not have a RevOps strategy problem. They have a RevOps implementation problem: someone has already written down what the process should be, and there is no capacity to make the systems enforce it.
We build that layer. CRM architecture that matches how you actually sell, definitions enforced through validation rather than training, automated data quality, and reporting that survives a pipeline redesign.
4 min read5 sectionsWhat We Build
What you'll take away
- We implement rather than advise. The output is working systems, not a deck.
- Definitions become validation rules, so process stops being optional.
- Reporting is built on a warehouse, so last year's numbers still make sense next year.
- Fixed scope, code in your accounts, documented handover.
What the engagement covers
- CRM architecture and data model
- Object model matched to how you actually sell — subscriptions, multi-product, partner-sourced, land-and-expand — with required fields, validation rules and picklist standardisation.
- Definitions made enforceable
- Stage exit criteria, qualification thresholds and lifecycle transitions implemented as system rules rather than documented as guidance nobody rereads.
- Data quality automation
- Normalisation, deduplication with a review queue, stale record management and validation monitoring — running on a schedule with dry-run safety and audit logging.
- Forecasting infrastructure
- Stage transition history, pipeline snapshots and automated accuracy measurement. The prerequisites for a forecast anyone can defend.
- Warehouse and reporting layer
- Metric definitions in version control, warehouse models joining CRM, product and billing data, and dashboards that do not break when a field is renamed.
- Territory, quota and comp modelling
- Automated calculation from CRM data rather than a spreadsheet at month end, removing a recurring source of disputes.
How we work
Audit the current state
We document existing definitions, stages, tools, reports and manual processes exactly as they are, and quantify the manual hours being consumed. Uncomfortable to read and the most useful artefact of the engagement.
Agree the target model
Definitions, stages, exit criteria and handoff SLAs, signed off by marketing, sales and customer success leadership. We facilitate; you decide. Nothing gets built on an unresolved disagreement.
Rebuild the data model
Object model, required fields, validation rules and ownership logic implemented in your CRM, with existing records migrated and reconciled.
Automate enforcement and hygiene
Routing, enrichment, normalisation, deduplication and stale record jobs deployed with monitoring, so the process holds without anyone policing it.
Build the reporting layer
Warehouse models, metric definitions in version control, snapshot history and the dashboards your leadership actually uses.
Hand over with documentation
Runbooks, a data dictionary, architecture notes and a working session with whoever owns it next. Plus a quarterly review checklist, because RevOps output decays without maintenance.
What you get
- A documented data dictionary
- Every field, its owner, its definition and what depends on it. The artefact most revenue organisations have never had.
- Enforced process in the CRM
- Validation rules, required fields and lifecycle logic so the agreed process is what the system actually permits.
- Automated hygiene jobs
- Running on a schedule with monitoring, dry-run capability and audit logging on every change.
- Warehouse and reporting infrastructure
- Models, metric definitions in version control and snapshot history that makes cohort and trend analysis possible.
- A measured baseline and result
- Forecast accuracy, data quality rate and manual hours measured before and after, so the value is demonstrable.
When teams call us
| Symptom | Underlying cause | What we build |
|---|---|---|
| Three people, three different win rates | Definitions live in three places | Data dictionary, validation rules, single reporting layer |
| Forecast accuracy below 80% | Stages advance without evidence | Exit criteria as required fields, snapshot history, accuracy tracking |
| A quarterly data cleanup that never holds | Hygiene is manual | Scheduled normalisation, deduplication and stale record automation |
| Reports break after every process change | BI built directly on the CRM | Warehouse models with versioned metric definitions |
| Commission disputes every month | Comp calculated in a spreadsheet | Automated calculation from CRM data with an audit trail |
| New CRM, same problems | Migration without model redesign | Object model rebuild matched to the actual sales motion |
Why teams choose us for this
- We build, not just advise
- Most RevOps consulting ends with a recommendation. The gap between a recommendation and a working system is where the value is, and that gap is engineering work.
- Engineering practice, not tool configuration
- Logic in version control with tests and monitoring. This is what makes the difference between something that works now and something still working in two years.
- We work with your existing stack
- No platform migration unless you want one. We build against what you have and tell you honestly if something needs replacing.
- Fixed scope
- Defined deliverables and a fixed price agreed before work starts. RevOps projects have a reputation for expanding indefinitely; ours end.
Frequently asked questions
What do RevOps services actually include?
- CRM architecture and data model design, definitions implemented as validation rules, automated data quality jobs, forecasting infrastructure including stage history and pipeline snapshots, warehouse-based reporting, and territory and compensation modelling. Delivered as implementation, not as recommendations.
Do we need RevOps if we already have a RevOps manager?
- Often yes, and for a specific reason: RevOps managers can design but usually cannot build. The most common gap we fill is between a good RevOps roadmap and the engineering capacity to ship it.
How long does a RevOps implementation take?
- A focused engagement — data model rebuild, enforcement automation and reporting layer — typically runs eight to fourteen weeks. The audit and definition-agreement phase is usually two to three weeks of that and is the part most often underestimated.
Will this require changing our CRM?
- Usually not. Most problems we see are data model and enforcement problems rather than platform problems, and a migration typically costs three to five times the licence saving that motivated it. If a change is genuinely warranted, we will say so and explain why.
What happens to the systems after handover?
- They are documented, monitored and run in your infrastructure. We include a quarterly review checklist because RevOps output decays by default — definitions drift, the business changes, and scheduled maintenance is far cheaper than a rebuild.
Your RevOps plan is probably fine. It needs building.
We turn RevOps design into working systems: enforced definitions, automated hygiene, forecasting infrastructure and reporting your leadership can actually trust.