Expected value, implementation cost, and the measurement method are agreed before development begins.
Milestones are set around data readiness, integrations, security review, and the production environment.
Current cost, cycle time, quality, capacity, or risk is established before improvement is measured.
Results are reported against approved source data, a defined system boundary, and an agreed measurement period.
Most conversation tools stop at a summary per call. Summaries do not add up. Leaders need counts, rates, and trends across many conversations, each traceable to what a customer actually said.
ALLTIPLY builds the pipeline that gets you there: consent-first capture with context, typed extraction with the quote attached, a governed vocabulary, one fact store every report queries, and alerts pushed to the people who own each signal. We also build the business case to fund it. The architecture is written up in From conversation to executive instrument. See our sales discovery conversation intelligence platform and the business case and ROI model behind it.
Four phases from a defensible business case to governed reporting in production.
We build a sourced evidence base, verify key inputs against recordings, and catalog the signals your conversations contain, each mapped to an owner and the action it enables.
We design consent, disclosure, and the audit trail with your legal team, then capture conversations with speaker roles and business context attached at the moment of recording.
The AI extracts typed objects with quotes and confidence scores for rep review, and a governed catalog maps different phrasings of the same issue to one countable pattern.
Reviewed facts land in one store. Each role gets its own view and alerts, from executive briefs to product gap queues, with every number linked to its evidence.
