Pilots without a business case
An AI tool purchased because a conference recommended it, no clear objective or measurement point. After six months, nobody knows whether it worked.
In four weeks, an honest map of where AI genuinely makes a difference in your RevOps. Which agents (HubSpot Breeze, sales coaching, customer agent) fit your data and team, in what order to roll them out, and what the EU AI Act says about the risk classification.
An enthusiastic manager rolls out a ChatGPT licence, a rep builds their own prompt for writing outreach emails. Six months later there is no measurable result and no scalable usage. We make AI specific per use case, with data readiness as the starting point and a risk classification alongside it.
An AI tool purchased because a conference recommended it, no clear objective or measurement point. After six months, nobody knows whether it worked.
HubSpot Breeze or a customer agent runs on your CRM data. When the lifecycle is vague and properties are empty, the agent hallucinates or simply returns wrong answers.
Nobody knows which prompts are used, which data agents can see, or who is responsible if something goes wrong. The EU AI Act sets requirements that none of the pilots have addressed.
The sales team does not use the AI Copilot because it is faster to do it themselves. Or the opposite: over-enthusiastic use without review, with output sent to clients unchecked.
A focused scan, not a year-long project. Interviews, data audit, use-case scoring and a 90-day roadmap with budgets.
Interviews with sales, marketing and service leadership. Data audit of CRM properties agents use as context: lifecycle, deal properties, customer records, content library.
Eight categories scored on fit with your situation. Per use case: impact (revenue or cost saving), feasibility (data and process ready) and risk (AI Act classification).
EU AI Act classification per use case. Policy for prompt governance, output review and data access for agents. What is mandatory, what is nice-to-have.
90-day roadmap per use case, with budget, owner and success metric. One-hour management presentation to get decisions made. Hand-over to implementation or RaaS retainer.
No 80-page report. A data-readiness check, a use-case matrix, a governance one-pager and a 90-day roadmap. Everything on a Figma blueprint your RevOps or IT lead can pick up without a translation step.
We explicitly write which use cases are not yet mature and what needs to happen before they are. No "anything is possible", just an honest phasing.
AI-readiness is not a tool question. It is a combination of data, governance and people work. You work with people who know all three sides.
A B2B organisation in professional services had four AI pilots running: a Gong test, a Clay flow for outbound, a Breeze experiment for pipeline and a ChatGPT licence for content. None of the four had an owner, none had a measurable result after six months.
In four weeks we scanned the data readiness, scored all pilots against impact/feasibility/risk and applied the AI Act. Result: two pilots stopped, one scaled, one new one added that nobody had considered. With a governance protocol that reassured the board.
Honest answers to the questions we hear before almost every engagement.
The Maturity scan looks at your overall RevOps maturity (people, process, tech) across all teams and is a 15-minute self-assessment. The AI-readiness scan looks specifically at AI and agent readiness: data quality, governance, use-case identification. For clients without a Maturity scan we recommend doing that first, because AI builds on your RevOps foundation.
Four weeks. Week 1 discovery and data audit, week 2 use-case scoring, week 3 governance and AI Act classification, week 4 roadmap and management presentation.
Lighter than large strategy projects, but tailored depending on scope and number of teams. Book a call for an honest scope indication. Many clients connect the scan to a RevOps-as-a-Service retainer for execution.
Per use case we score against the AI Act: unacceptable, high, limited, minimal risk. For B2B RevOps most fall in limited and minimal, but HR screening and some service use cases can become high risk. We write the governance protocol alongside it.
Book a scan call. We take a brief look at your current AI experiments and biggest uncertainties, then provide an honest scope.