Business outcome
Start with the value case
Agree the operating problem, baseline, owners and measures before work is broken into projects or system changes.
For PE, GTM and delivery leaders
Deliver the GTM program,with decisions and evidence in view.
AI-SDF for GTM is StreamForce’s governed execution model for value creation and GTM programs. It helps turn an approved operating plan into coordinated work across process, data, integrations and revenue systems. AI assists bounded tasks; StreamForce specialists and your team own the decisions, review and release.
Program-level delivery with human control. LEVR can define the best-practice processes and measures; AI-SDF supports approved execution. System changes remain subject to the client’s review, deployment and access controls. The Salesforce workflow shown here is one example of a technical workstream within a broader program.
Example workstream · SFDC-482
Ready for review
Sprint user storyAdd usage-based pricing to renewal quotes
1
OrchestratorClassified as development work
Done2
Design + DeveloperRevenue Cloud change built
Done3
Tester + ReviewerAcceptance criteria checked
Done4
Pull request #274Feature branch and test evidence
Your reviewHuman approval requiredA developer reviews the pull request and performs the final merge.
Plan
Business outcomes and approved scope
Build
Coordinated process and system workstreams
Prove
Tests, decisions and delivery evidence
Own
Client review and release controls
What AI-SDF for GTM is
A governed way to execute a GTM program.
The program starts with the operating result the business needs, then organizes the changes across teams and systems. AI supports defined delivery tasks while experienced people remain accountable for architecture, tradeoffs and approval.
Connected workstreams
Work across the revenue stack
Sequence process, data, integration and application work around the program outcome. Salesforce is included when it is part of the client environment.
Governed execution
Keep decisions with people
StreamForce prepares reviewable work and evidence. Client business and technical owners approve decisions and control release.
Why the model matters
Keep the program tied to its operating result.
AI-SDF for GTM gives the team a repeatable way to move from an approved plan to delivered work and evidence. Agents help with bounded analysis, build, testing and documentation tasks so specialists can focus on design and decisions.
01
Use the operating blueprint
LEVR or the agreed GTM plan identifies the process changes, owners, dependencies and measures that matter to the business case.
02
Coordinate the workstreams
StreamForce sequences business process, data, integration and application work. Each change is routed to the people and tools appropriate to that work.
03
Prove the result
Reviews and tests check delivery against acceptance criteria. Operating measures show whether the program is reducing effort, errors or cycle time.
Program governance
Business owners decide. Technical owners control release.
AI assists delivery tasks within an approved scope. The client retains the outcome, policy and release decisions while StreamForce remains accountable for the work it delivers.
01
Outcome and scope are agreed
The sponsor and functional owners approve the program measures, priorities and boundaries before delivery starts.
02
Architecture has an owner
Experienced practitioners review cross-system design and resolve tradeoffs that affect operations, data and controls.
03
Decisions stay traceable
Requirements, questions, changes, test evidence and approvals are recorded in the client’s agreed workflow.
04
Ambiguity stops the work
When a requirement lacks enough detail, StreamForce asks the business owner to clarify it before dependent work continues.
05
Acceptance criteria drive review
Workstream outputs are checked against agreed criteria and returned for rework when they miss the mark.
06
Release stays under client control
Technical changes follow the client’s access, approval, deployment and release process. No agent makes the final production decision.
Before connectionStreamForce documents which systems and data the workflow may access, where information is processed, how secrets are stored, retention and model-training boundaries, environment isolation and customer approvals.
How it works
Move from approved program to reviewed outcomes.
The workflow scales from a business priority to bounded workstreams. The steps below show the decision and delivery gates; the Salesforce story above illustrates one technical path.
01
Agree the program human gate
Business owners confirm the operating outcome, baseline, requirements and decision rights.
02
Design and sequence
StreamForce maps the process, data and system dependencies, then creates bounded workstreams with acceptance criteria.
03
Execute approved work
Specialists and agents work within the approved scope. Technical changes follow the client’s platform and engineering workflow.
04
Test and document
Workstream outputs are checked against acceptance criteria, with decisions and evidence added to the program record.
05
Approve and measure human gate
Client owners approve release and adoption, then compare operating results with the baseline.
LangGraph provides stateful orchestration and resumption, while MCP-based interfaces connect the workflow to approved systems and tools.
Example: a technical workstream
Seven agent roles support one reviewable change.
This Salesforce example shows how a bounded system change moves through specialist roles. Other program workstreams are designed around the process, data and systems involved.
Orchestrator
Classifies the work and retrieves only the metadata the story requires.
Design
Turns the story and acceptance criteria into a concrete change plan.
Developer
Handles Apex, LWC and integration code for the development path.
Admin
Handles flows, objects, fields, permissions and declarative configuration.
Tester
Creates Apex tests or admin validation checks against the story.
Reviewer
Checks the output against acceptance criteria and returns misses for rework.
Documentation
Updates Jira, the pull-request description and the change record.
Your team
Owns requirements, resolves ambiguity, reviews the output and performs the final merge.
Example: the clarification loop
Unclear requirements stop the work, not the audit trail.
In this Salesforce workstream, questions are recorded in Jira and work resumes once the owner responds. The same decision rule applies across the broader program.
What the program leaves behind
An operating change your team can own.
The value is in the improved process and the evidence that it works, not only in completed system tickets.
For the sponsor
A measured operating result
Baseline, target, decisions and observed changes in the process measures tied to the program.
For functional owners
A process people can run
Clear ownership, handoffs, controls and documentation for the new way of working.
For technology leaders
Reviewable system work
Test evidence, change records and approvals in the tools and release process agreed with the client.
The broader delivery record
StreamForce engagements have produced measurable results.
The examples below show outcomes from complete StreamForce engagements. AI-SDF for GTM supports selected delivery work, including work within LEVR programs; these outcomes are not isolated measures of the AI-SDF workflow.
Education · Revenue Cloud · global rollout
Global language training company
End-to-end Revenue Cloud and Education Cloud rollout, with enrollment, ERP, e-signature, payments and tax automated across every region and no business downtime.
95%
fewer invoicing steps
85%
enrollment automated
100%
targeted manual data entry eliminated
PE-backed M&A · lead-to-revenue consolidation
Global ethics and compliance platform
Post-acquisition consolidation, CPQ and guided selling across multiple acquired companies, with data-quality controls and downstream CLM, customer success and BI integration.
-90%
month-end close time
+4%
average ACV per sale
These are outcomes from complete StreamForce engagements. They do not isolate the contribution of AI-SDF for GTM from the work of the client team, StreamForce specialists or other program changes.
The next step
Discuss the program you need to deliver.
Bring the business goal, the operating friction and the systems involved. We will show where AI-SDF can support the work and how decisions, evidence and release stay governed.
Book a working session
Clarification required before I proceed