Commercial consistency
Scope, assumptions, exclusions, fees, and schedule had to remain aligned across proposal and SOW.
A Microsoft-based workflow designed to turn approved opportunity inputs into consistent proposals, statements of work, SharePoint records, and downstream project setup.
A professional-services organization whose sales and delivery teams repeated engagement data across disconnected tools.
The source record contains the before-state, phased implementation plan, integration dependencies, acceptance criteria, and intended operating value. It does not contain a final quantified outcome report.
Start with the situation itself. The technology request mattered, but so did the workflow, constraints, ownership, and condition the customer needed to change.
The organization’s sales-to-delivery process crossed many useful tools, but the tools did not share one controlled representation of the engagement. Teams copied scope, assumptions, staffing, timing, and pricing from one artifact to another.
The answer was not to let an AI issue commercial commitments. The solution design separated drafting from authority: automation could assemble, compare, route, store, and prepare downstream setup, while designated owners approved client-facing language and project creation.
The impact explains why the issue deserved action. It connects the technical problem to the people, customers, continuity, cost, risk, and ownership affected by it.
Scope, assumptions, exclusions, fees, and schedule had to remain aligned across proposal and SOW.
Approved commitments needed to arrive in project setup without another manual reconstruction.
External CRM and professional-services APIs could affect what was technically feasible.
Missing fields, rejected approvals, and connector failures needed visible recovery paths.
Temen connected discovery, design, implementation, control, testing, and handoff. Each phase produced evidence that made the next decision safer and kept the customer's operating owner visible.
Document the current process, source systems, templates, owners, repeated entry, approvals, and failure points.
Evidence: Current-state map, data inventory, decision registerDefine reusable fields, SharePoint metadata, naming, permissions, and controlled Word and presentation templates.
Evidence: Information architecture, data model, templatesCreate flows for intake, document assembly, review, approval, storage, notification, and exception handling.
Evidence: Solution package, flow map, exception routesUse approved connectors or APIs to prepare downstream project, budget, and planning records where feasible.
Evidence: Mapping specification, integration testsRun standard, rejected, incomplete, retry, and failure scenarios before cutover and administrator handoff.
Evidence: UAT results, runbook, training, hypercare logAdvance a simulated engagement from approved intake to document generation and project handoff, or introduce a missing commercial field to see the workflow stop safely.
Scope owner confirms the reusable engagement facts.
This demonstration uses staged, synthetic data. It explains the solution pattern without connecting to a customer environment or reproducing private customer records.
This view shows where information enters, what coordinates the work, where authority lives, and what the customer can continue operating after implementation.
Controls define what the solution may do. Verification shows whether the intended behavior occurred and whether the customer is ready to own the result.
Generated content remains a draft until the designated commercial owner approves it.
The workflow uses controlled inputs rather than silently extracting commitments from every note.
The final package retains the version, approver, decision, and related metadata.
Incomplete data, rejected language, connector failures, and duplicate submissions follow visible paths.
Compare scope, assumptions, deliverables, fees, and timing across generated artifacts.
Verify no client-ready package bypasses the required business gate.
Test missing data, API errors, retries, duplicate events, and approval rejection.
Confirm approved data reaches downstream setup without material re-entry.
The designed workflow assembles consistent commercial documents, enforces named approval, retains version history, and prepares the downstream project handoff without automating commercial authority.
HOW TO READ THIS OUTCOMEThe source record contains the before-state, phased implementation plan, integration dependencies, acceptance criteria, and intended operating value. It does not contain a final quantified outcome report.Approved information can move through documents and setup without repeated re-keying.
Every client-facing output passes through a named human approval.
The final scope package and project record begin from the same approved facts.
Boundaries protect the customer from hidden assumptions, unapproved authority, and work that belongs in a different engagement.
Customer identity, private infrastructure, personal information, commercial terms, and other sensitive details are deliberately excluded from this public narrative.
Temen approaches proposal automation as an operating-system problem, not a document-generation trick. We connect process design, structured data, Power Platform, SharePoint, approvals, exceptions, and delivery handoff so the automation supports the business relationship instead of creating hidden commitments.
The proposal, SOW, approvals, final files, and project setup begin from the same controlled information.
Drafting and assembly can move quickly while commercial approval stays with the designated owner.
Missing fields, rejected language, duplicates, API failures, and retries receive visible recovery paths.
Integration scope follows real licensing and API capability rather than assumptions made during a demo.
Bring the business impact, current workflow, constraints, environment, decision owners, and desired outcome. Temen will determine whether this engagement pattern fits your operating reality.