Internal promise load map

For department heads, turn approved commitments and capacity assumptions into manager-reviewed commitment map. Address this specific problem: teams accept commitments without seeing aggregate load. The aim: visibility of accepted promises across routines. The pilot tests whether that benefit holds up against reviewer effort and real operating costs.

The buyer creates a project, supplies approved commitments and capacity assumptions, and confirms scope and access. Users correct extracted facts, resolve flagged uncertainties and approve the final manager-reviewed commitment map before use. Retain source links and a version history for the next cycle.

How the AI works

AI assists these bounded tasks: group promised outputs; map due-date clusters; flag unsupported capacity. Use only approved commitments and capacity assumptions and preserve uncertainty in manager-reviewed commitment map. Keep model suggestions separate from verified facts. Link factual outputs to authorized input evidence and show missing information explicitly. Use deterministic checks for counts, dates, identifiers and arithmetic where applicable. A designated reviewer validates consequential outputs and signs off the delivered result.

Safeguards

Confirm owners, decisions and commitments. Keep employee discussion notes access-controlled and avoid covert individual performance inference. One organization, one defined input format and one representative pilot batch using approved commitments and capacity assumptions. Professional judgment, physical inspections, live external actions and production certification remain outside this prototype. Require appropriate access and publication approval. Preserve source material, label AI drafts and make corrections traceable. Measure false positives and missed cases alongside speed.

What to build first

Costed pilot: One organization, one defined input format and one representative pilot batch using approved commitments and capacity assumptions. Professional judgment, physical inspections, live external actions and production certification remain outside this prototype. Start with one buyer organization and a bounded set of representative inputs. Implement the first two modules: group promised outputs; map due-date clusters. Support the third task through an assisted review queue: flag unsupported capacity. Handle the remaining required functions manually until validated. Include input upload, source references, user correction, a reviewer approval step and export of manager-reviewed commitment map. Authentication, account isolation, deletion controls and basic operational logging are included. Specialized production certification, live write integrations and broader rollout are not included unless explicitly stated.

What it can connect to

Team updates, calendars, project records and agreed management routines. Read-only business data exports, reporting databases and task trackers. Reconcile source totals before scheduling recurring data refreshes. Begin with uploads and exports of approved commitments and capacity assumptions. Any named system or connector is a candidate requiring current access and compatibility checks; no live connection is included by default.

The screens in detail

Open with a compact overview and filters for the relevant period or segment. Let users drill from each theme or metric into underlying records. Keep source definitions and missing-data notes near the result. Use an action panel to assign investigations and record what was learned. Open with brief and sources; move into internal promise load map for the detailed task; finish in review and delivery for review and handoff. Show the source record, uncertainty and approval status beside each proposed output.