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Enterprise saas negotiation pipeline

Enterprise Saas Negotiation Pipeline

Workflow Goal

(No goal text found)

Team Structure

Agent ID Type Name / Role Capabilities
playbook_selector_ai ai Drafting a contract playbook with the right clauses and fallback positions
clause_librarian_ai ai Detecting missing or risky provisions in the counterparty paper
Proposing alternative language for missing or risky provisions with rationale citations
redline_assistant_ai ai Applying and explaining redlines consistent with the playbook
Providing a short justification for each edit
Linking to the approval path when the edit exceeds negotiator discretion
Keeping an issues list synchronized with CLM metadata
obligations_tracker_ai ai Generating an obligations matrix from the near-final contract
Pushing these to RevOps/Success and setting alerts for time-bound obligations
Closing the loop by logging playbook learnings to improve future cycles
deal_desk_lead human_mock Deal Desk Lead (Legal Operations) Defines intake, tiering, and approval topology
Balances speed vs risk and arbitrates escalations
Owns cycle‑time metrics and bottleneck removal
Maintains playbook hygiene and change control
commercial_counsel human_mock Commercial Counsel (Legal (Commercial)) Runs pragmatic negotiations within guardrails
Explains risk in plain language and escalates wisely
Ensures paper matches product/service reality
Maintains issues list and approval links
privacy_counsel human_mock Privacy & Data Protection Counsel (Legal (Privacy)) Owns DPA/transfer mechanisms and notices
Aligns definitions across MSA/DPA stack
Validates claims vs actual data flows
Advises on public sector/regulated overlays
security_architect human_mock Security Architect (Security/Trust) Reviews SIG/CAIQ and maps to controls exhibits
Checks feasibility of audit/LoL/security terms
Coordinates mitigations with Engineering
Signs off on security language and exceptions
revops_clm_admin human_mock RevOps & CLM Admin (Revenue Operations) Ingests executed docs and extracts metadata
Sets alerts for time‑bound obligations
Translates obligations to GTM workflows
Maintains data accuracy in CLM/CRM
cro_stakeholder stakeholder Chief Revenue Officer (Stakeholder) (Executive Stakeholder) Sets revenue‑first priorities and guardrails
Approves escalations and trade‑offs
Demands cycle‑time and quality accountability
Champions factory improvements post‑mortem

Join/Leave Schedule

Timestep Agents / Notes
0 deal_desk_lead — Stand up intake, SLAs, and approval topology
playbook_selector_ai — Auto‑select playbook; initialize deviation register
cro_stakeholder — Confirm revenue priorities and close plan
4 commercial_counsel — Begin redlines and counterpart engagement
clause_librarian_ai — Normalize templates; ensure clause coverage
8 privacy_counsel — Own DPA/transfers and privacy definitions alignment
security_architect — Own security questionnaire and controls feasibility
redline_assistant_ai — Apply guided redlines with justification and fallbacks
14 playbook_selector_ai — Playbook locked; deviations tracked
18 deal_desk_lead — Drive approvals/escalations; clear blockers
22 clause_librarian_ai — Clause normalization complete
26 revops_clm_admin — Ingest executed docs; extract metadata; set alerts
obligations_tracker_ai — Publish obligations matrix and alerts to GTM teams
32 cro_stakeholder — Review cycle‑time KPIs; approve factory improvements
redline_assistant_ai — Negotiation complete; closing

Preferences & Rubrics

Defined: Yes.

Sources

  • Workflow: /Users/charliemasters/Desktop/deepflow/manager_agent_gym/examples/end_to_end_examples/enterprise_saas_negotiation_pipeline/workflow.py
  • Team: /Users/charliemasters/Desktop/deepflow/manager_agent_gym/examples/end_to_end_examples/enterprise_saas_negotiation_pipeline/team.py
  • Preferences: /Users/charliemasters/Desktop/deepflow/manager_agent_gym/examples/end_to_end_examples/enterprise_saas_negotiation_pipeline/preferences.py