Capability 1 of 4 · Data
What does the agent actually know?
The gap every agentic platform hits
The agent reasons well until the generic ends and the agreement begins. Without the actual terms, it applies generic actions to specifically negotiated relationships. Stage 1 and 2 close that gap for Fontara's procurement team.
Define procurement agreement types and fields as code, bulk-ingest a pharma-medtech vendor repository with the Docusign CLI, and watch Iris extract renewal dates, payment terms, and liability caps from every PDF.
Capability 2 of 4 · Integration
Where does the agent plug in?
The integration pattern that travels
Structured data is inert if it's siloed. The MCP connection you build in Stage 3 is the same pattern that reaches Copilot Studio, Teams, or whatever your customers are already running.
Wire the Docusign MCP Server into Copilot Studio and query Fontara's entire vendor corpus in plain English: auto-renewals in 90 days, vendors on off-standard payment terms, MSAs missing a price-increase cap.
Capability 3 of 4 · Guardrails
Who decides what runs without a human?
Agentic action without guardrails is liability
Not every agreement decision should fire automatically. Workflow Builder lets you encode exactly which renewals require sign-off before signature — so the agent escalates with full context instead of acting blind.
Trigger a pharma supply renewal from one prompt: the agent calculates the deal, routes it through Workflow Builder approval, fires Agreement Prep to the vendor signer, and tracks status back — all without a human touching the toolchain.
Capability 4 of 4 · Reach
Where does the result go?
The reusable asset you hand to every client
What you build today is version-controlled, CLI-deployable, and portable across customer accounts. The MCP endpoint it exposes is reachable from Teams, Copilot, or any AI surface your customers are already running.
Deploy the prebuilt Procurement Agent in Agent Studio: it surfaces renewals, off-standard terms, and obligations across the vendor corpus, and reaches the teams that act on them through any MCP-compatible AI client.