For three decades, enterprises have tried to solve performance through learning. Send people to training. Run them through an LMS. Certify them annually. Measure completion rates. Move on.

Then for the last three years, the industry bet that generic AI assistants, chatbots in every workspace, would finally close the gap between training and behaviour.

Neither worked. Not really. Training spend went up. Completion rates climbed. AI assistants multiplied. But the KPIs enterprises actually measure, deal velocity, ticket resolution time, audit adherence, LTIR, did not move proportionally.

The missing role

The problem is not the LMS. The problem is not the AI assistant. The problem is that the job of “coach the team at the moment of the task” has no owner. An LMS cannot do it, it is a catalogue. An assistant cannot do it, it is reactive. A manager cannot do it at scale, there are 40 reports per manager and 8 hours in a day.

What’s missing is a new role. Not a new tool. Not a new feature. A new role, with a clear job description:

  • Detect what is blocking performance across the business systems, CRM, HRIS, support queue, collab tools.
  • Build coaching on the fly for the person in front of it, in the format they need.
  • Deliver it on web and mobile, fed by live data from Salesforce, Teams, Slack, HRIS, not as another portal that asks people to learn before they perform.
  • Prove business impact in the unit the business is paid on, pipeline, resolution, audit scores, ramp time.

We call this role the AI Performance Officer.

What makes it different

An AI Performance Officer is context-aware. It reads your CRM the way your CRO reads it: by deal, by stage, by competitor. It reads the HRIS the way the CHRO reads it: by team, by tenure, by skill.

An AI Performance Officer is framework-fluent. HACCP for kitchens. LCB-FT for real estate. SOC 2 for tech. MiFID II for finance. ISO 9001 for industrial. Not vague compliance, the actual regulations the buyer is audited against.

An AI Performance Officer is customised, not generic. Each coach is a template configured with your policies, your playbooks, your ICP. Your team does not use it, your team deploys it.

An AI Performance Officer is measured in business outcomes, not training outcomes. Win rate, not completion rate. Ramp time, not engagement score. Audit adherence, not attendance.

Why now

Two things changed. First, AI reached the quality bar where it can operate inside real business systems without failing every third call. Second, enterprise buyers got tired of paying for completion theatre.

Forge is the first AI Performance Officer. Built by the team behind Rise Up, the enterprise learning platform that serves 600+ enterprises worldwide. Same team, same infrastructure, new role.

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