ContractSpec
DocsPricingSecurity
ENFRES
Watch 90-sec demoSign in
ContractSpec

Know what to build next, backed by real user data. Feedback in, impact out.

Product

OverviewOperateExplore

Resources

Category narrativeCompare stack classes

Company

DocsPricingSecurityWatch 90-sec demo

Legal

TermsPrivacyDPA

Contact

hello@contractspec.studioLinkedInSign in
© 2026 ContractSpec Studio. All rights reserved.
ENFRES
TermsPrivacyDPA

Run product operations and project management in one AI-native system.

Watch 90-sec demo

What this replaces

One operating system for product execution

ContractSpec unifies AI-native PM, scheduling, meeting intelligence, and agent execution around one evidence graph.

AI-native PM workspace

Turns feedback into scoped Action Items with acceptance criteria and ownership. Self-evolving from signal to verified outcome.

Fragmented PM planning loops

Schedule and booking

Plans capacity, booking windows, and handoffs in the same execution context.

Disconnected scheduling tools

Meeting intelligence

Extracts decisions, blockers, and commitments into the operating graph.

Standalone note and transcript bots

See category narrative and stack model

How the system runs

One deterministic loop from signal intake to verified outcome. Each step produces an inspectable artifact.

  1. 1

    Capture

    Ingest support, meeting, and analytics signals into one evidence stream.

  2. 2

    Decide

    Score impact, set priorities, and draft clear Action Items.

  3. 3

    Plan

    Break work into scoped tasks with owners and acceptance checks.

Walk the full operating loop

What is live now

Required production surfaces run on persisted entities and map claims to verifiable evidence.

Required production surfaces

Web applicationAPI routesMCP tools

Persistence-backed execution surfaces

PM workspace, schedule, booking, meeting intelligence, and agent swarm run on persisted state.

Cross-surface contract parity

Web and API routes stay aligned through shared contracts and deterministic service behavior.

Governed automation posture

Policy gates, review queues, and audit trails keep autonomous actions explicit and reversible.

Self-evolving system

Outcome verification and learning feedback improve pattern confidence over time.

See where fragmented tools stop and how the replacement stack closes the loop.

Review stack comparison and constraints

Control and trust at every step

Teams choose how much autonomy to apply per workflow while governance stays explicit and auditable.

Manual mode

Operators approve each transition and keep full intervention control.

Assisted mode

AI drafts recommendations while humans accept, reject, or edit before export.

Autopilot mode

Scheduled runs execute inside policy limits with a review queue for risky actions.

Safety boundaries

  • No autopilot code push, PR merge, or deployment in v0.
  • Policy gates and approval checkpoints on high-risk operations.
  • Audit trail, retention controls, and PII redaction by default.

Common objections, answered

Do we need a rip-and-replace migration?

No. Keep existing tools as ingestion and export bridges while the core loop moves to ContractSpec.

Can we keep current project trackers during transition?

Yes. Exports stay available so teams can migrate progressively by module or team.

Who approves autonomous actions?

You set control mode and risk thresholds. High-risk outputs remain review-gated and fully auditable.

Review security and governance detail

See the operating loop in under 90 seconds

Watch the demo, then inspect real outputs before you decide.

Watch 90-sec demo Compare stack classes