Export and reporting layer for AI sales assistant data

A sales ops manager realizes the problem the moment they try to pull a weekly performance report from their AI dialer or sequencing tool and discover the only option is a locked-down summary screen with no CSV export, no date filtering, and no way to sort columns. They end up copying numbers by hand into a spreadsheet. This happens every week.

The gap persists because these vendors are racing to ship AI features — call scoring, automated follow-ups, persona targeting — and the reporting layer is an afterthought. The buyer (VP of Sales, Sales Ops lead) often isn't the daily user, so the daily pain of 'analytics are hard to export' doesn't make it to the top of the vendor's support queue loudly enough to reprioritize. And building flexible, multi-dimensional reporting inside a product that wasn't architected for it is genuinely expensive to retrofit.

What's missing is a thin layer that connects via API or webhook to the half-dozen AI sales tools a team uses, pulls raw activity and outcome data, and presents it in a table where you can actually click column headers to sort, filter by date range, and export to CSV or push to Google Sheets. Not a BI tool — those require a data engineer to set up. Not the vendor's native reporting — that's the thing that's broken. Something purpose-built for the sales ops person who needs Tuesday's call connect rates by rep by territory and needs it in ten minutes, not two weeks.

This is a business and not a feature because the underlying vendors have no structural incentive to fix it fast — reporting depth doesn't drive new logo acquisition the way AI demo features do. Every new AI sales tool a team adopts creates a new data silo, so the problem compounds rather than shrinks. And the sales ops person who needs this runs this reporting cycle every single week, meaning churn is low once they've wired it in.

What to build

Build a web app that connects to AI sales assistant APIs (starting with Aircall, Aloware, and Amplemarket), pulls rep-level activity and outcome data on a configurable schedule, and presents it in a sortable, filterable table with one-click CSV export and a Google Sheets push — no data warehouse required.

Where to start

Start specifically with teams running Aircall alongside a CRM, where call data lives in one place and deal data lives in another and nobody has connected them — this is the most common pairing and the one where the weekly manual export pain is most acute and easiest to demonstrate in a sales call.

The hard part

Each vendor's API surface is different and often poorly documented, so the first three integrations will take far longer than scoped, and one vendor API change can break a customer's weekly reporting workflow overnight — making reliability the product's core promise and its hardest engineering commitment simultaneously.

How it makes money

Monthly subscription per workspace, priced by number of connected seats (roughly $8-15 per rep seat per month), with a flat setup fee for the first integration if custom field mapping is required.