Describe the goal, current systems and constraints. We will review the scope and identify the next evaluation step.
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 conversation-intelligence architecture report describes the demonstrated platform, prototype capabilities and executive demo on synthetic data, with each stage labeled by status. The business-case evidence review in the production-gap report explains how we checked claims and labeled model inputs.
A recording tool may be enough if the team needs searchable notes. A connected workflow may be needed when reviewed facts must reach another system, follow your access rules or support a repeatable business decision. Compare existing software before commissioning a custom platform.
Check what can be exported, in which format, and whether recordings, transcripts, reviewed facts and source references remain connected. Confirm API limits, identity controls, retention and the work needed to change providers. Owning an export does not make an integration portable.
Measure the current effort to prepare, review and enter the information. Then compare the same work with the proposed system, including corrections, missed facts, consent handling, licenses, integration and support. Time released is useful capacity; count financial savings only when a cost is actually avoided. Do not use another company's reported return as your forecast.
Our conversation evidence architecture note explains quote-linked facts and reporting. Typed extraction is a prototype and the executive demonstration uses synthetic data; these establish no measured commercial return.
Request a review of your conversation workflow. Describe the decision, the destination system and how the work is reviewed today.
These firsthand reports distinguish production use from proof environments and prototypes.
Explore our work and evidence status or read the research library directly.
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.
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