How it works
Where AI work fails, what it costs and what to fix first.
Moonford anonymously analyses your AI conversations, securely inside your environment. Conversation content never leaves your organisation.
The answer is already written down.
Every time someone gets stuck, they say so to the assistant. It cannot find the contract. The export fails. The policy it quotes is out of date. Thousands of these moments happen every week, and almost none of them reach a ticket queue.
We analyse friction in your AI layer.
Moonford looks only at friction that affects your AI rollout: your assistants, their connections to your tools, and your agents. Each finding names the team that can fix it.
- Connections
Connectors that time out, return errors or come back empty, and sources the assistant only partly reaches.
Fixed by: your platform team
- Access
Licences not assigned, missing permissions, connectors not enabled for a team, and repeated sign-in prompts.
Fixed by: IT and identity
- Tools behind the assistant
Data in your tools that the assistant cannot use: empty fields, duplicate records, answers that take several steps.
Fixed by: the application owner
- Agents
Agents that retry in loops, stop at their step limit, pick the wrong tool or send malformed requests.
Fixed by: the agent’s owner
- Coverage
Requests no connected tool can serve, and connectors that exist but go unused.
Fixed by: your AI team
- Spend
More model than the task needs, tokens spent on retries, and the same question answered again across teams.
Fixed by: your AI team
Friction in tools your AI assistants and agents never touch is out of scope.
A second lever on AI spend.
Controlling AI spend usually means cutting: fewer seats, tighter token limits, cheaper models. Moonford adds a second lever: find the usage that produces nothing and remove its cause. Every fix is attributable, with a named failure, an owner, a before and an after. That gives you a record of active cost control, built on evidence from your own environment.
Where work stalls
Every recurring point where people give up, work around the assistant or escalate to a colleague, by team and by tool.
What it costs
Hours and money lost, in figures your finance team can sign off.
What to fix first
A ranked list of fixes, starting with the one that gets the most people working again.
410 people in sales could not reach the contract archive from Copilot last month. 290 hours lost. The fix: one connector permission.
Find the waste in your AI rollout.
We are opening a small number of early partnerships with enterprises rolling out AI assistants at scale.
Or email hello@moonford.io