Features
Everything around the prompt, nothing you don't need.
Built for organizations running AI across every department, not just one team.
Audits on every response
Automated checks for leaked secrets, missing steps, hardcoded values, and stale TODOs, across code, contracts, SOPs, and emails.
Reusable context layer
Saved prompts, notes, meeting context, and skills flow back into future work so teams start from prior knowledge instead of blank chats.
Multi-agent routing
Bring your own Claude or OpenAI keys. Work is routed through the available model path, with cost shown before execution.
Approval workflow
Submit any winning prompt to your team library. Admins review, cosine-similarity blocks duplicates, and approved prompts version automatically.
MCP connectors
Microsoft 365, Google Workspace, Notion, Confluence. Check whether the document already exists before anyone types a prompt.
Governed AI screen sharing
Start a governed screen-review session in the workbench. Prior cases are searched, visual context is reviewed, and only governed responses are routed onward.
Prompt Sickness Score
One score for prompt health across redundancy, bloat, orphaned prompts, coverage gaps, and quality variance.
Real-time cost projection
Pre-flight token count and dollar estimate before every run. Live token counter as your team works.
Custom org rulesets
Define what audits flag, what scopes connectors search, and what the similarity threshold blocks. Tunable per org, never hardcoded.
Output Cleaner pipeline
Every AI response is automatically cleaned before it reaches your team. Emojis stripped. Filler removed. Tone enforced. Code comments trimmed. All invisible to the employee.
Failure Memory
When AI makes a mistake, it gets documented, category, severity, department, platform. Similar prompts are flagged before they cause the same issue again.
Prompt Compression Engine
Prompts are compressed before execution to reduce filler and cut token waste without changing how employees write requests.
Approval workflows
Strong prompts can be submitted to a shared library, reviewed by admins, and versioned for reuse instead of staying trapped in personal history.
Retention and cleanup
Prompt, transcript, and note retention rules can be enforced so stale workspace data does not accumulate indefinitely.
Compliance Command Center
11 regulatory requirements tracked live. SOC 2 Trust Services Criteria plus Colorado, California, EEOC, FTC, Utah and Texas AI laws. One dashboard. One PDF export. Audit-ready at all times.
Cost Savings Tracker
See exactly how much your org saves in real time. Tokens saved, API cost reduction, failed attempts avoided. Updated daily, available as a one-click report.
Evidence reports on demand
Generate a full compliance evidence PDF in one click. Org name, report date, all 11 requirements, live status, signal data, timestamps. Hand it straight to your auditor.
Governed AI Screen Sharing
Visual context, routed through governance before it reaches AI.
The Workbench supports governed screen-review sessions, giving your teams a production-safe way to ask for help on visual workflows, UI states, errors, forms, and live operational systems without dropping straight into unmanaged screen-sharing tools.
Visual context before AI
A bounded screen-review session captures governed frames, checks prior org issues, and routes only approved context through the same policy path as written prompts.
Lower exposure by design
Employees do not need to copy sensitive pages into chat. They can attach the exact page, workflow, or error state that needs review and keep the interaction inside Promptdoc.
Built for governed healthcare workflows
This is especially useful for clinical, operations, and policy teams that need help on live systems while still preserving review gates, allowed models, and evidence trails.
What This Adds to Promptdoc
Employees can show the actual page, workflow, or issue they are working on instead of describing it from memory.
The screen-review session stays inside the governed execution flow, alongside saved prompts, notes, approvals, and model routing.
Your teams get stronger answers for visual and operational work without widening the surface area to unmanaged AI chat tools.
Primary Use Case: Alberta Health Services (AHS)
Clinical and operations staff can start a governed screen-review session from Connect Care or related internal workflows when they need help drafting instructions, summaries, or next-step guidance.
That keeps Promptdoc positioned above the model layer: the prompt is fixed, the right context is routed, and the right controls are applied before anything reaches AI.
Connects to the tools your workforce already uses