Automated performance digest for AI support agents

The problem crystallizes when a support operations lead realizes, on a Friday afternoon, that they have no idea which of their deployed AI agents are actually resolving tickets versus just closing them, and that pulling that answer out of their current tooling requires a manual export, a VLOOKUP, and forty minutes they don't have. Users complained specifically that reports don't generate automatically, that there's no scheduled email delivery, and that per-agent resolution statistics aren't visible in any useful way.

This gap persists partly because AI ops vendors are in the business of selling agent capabilities, not agent accountability. Showing granular per-agent failure data prominently in the dashboard would highlight underperformance that the vendor would rather have customers discover slowly. There's a soft incentive to keep reporting vague. The user who needs this data — the ops lead or support manager — is usually not the economic buyer, so their frustration rarely surfaces in renewal conversations.

What exists today forces ops managers to either accept the generic vendor dashboard (which shows aggregate metrics that mask individual agent problems) or build a custom BI pipeline that requires data team involvement. Neither works for a team of two or three people trying to run a weekly ops review. The complaints here are concrete: no year-over-year comparisons, no automatic delivery, no ticket resolution breakdown by agent, and no ROI view without exporting raw data.

This is a business because support operations is a function with a permanent reporting cadence. Weekly team standups, monthly reviews with the support director, quarterly plans — each requires fresh numbers. The person responsible for those numbers is doing the same manual pull every cycle. The cost is time multiplied by frequency, plus the organizational cost of going into a review meeting with stale or incomplete data and having credibility questions raised about whether the AI investment is working.

What to build

Build a lightweight connector that pulls ticket-level data from AI support agent platforms via API, computes resolution rate, deflection rate, and escalation frequency per individual agent on a weekly basis, and emails a formatted digest to the ops lead every Monday morning without any manual action.

Where to start

Launch as a single-integration digest for one platform first — target Aisera users specifically since their complaints about generic reporting and lack of per-agent detail are explicit — and offer a fixed weekly email digest with no configuration required as the entry point.

The hard part

Defining 'resolution' consistently is genuinely hard — every platform tags ticket outcomes differently, and if the digest calculates resolution rate differently from how the vendor defines it, trust breaks immediately and the product gets ignored.

How it makes money

Flat monthly fee per team (not per seat), since the digest serves the ops lead and their manager; pricing scales by number of AI agents monitored, not number of human users reading it.