AI Agent Assurance
Automated QA and coding, proven by WebROI against the ROI you promised.
Save time and money. Win more renewals and sales.
50 bugs fixed, about 200 engineering hours saved.
Your only job: approve the pull request.
AI agent over budget and overdue?
40%+
of agentic AI projects could be cancelled by the end of 2027, over costs, unclear business value or weak risk controls.
Gartner (2025)
96%
of developers don't fully trust AI-generated code, yet only 48% always verify it before committing.
Sonar, State of Code (Jan 2026)
8×
more duplicated code blocks in 2024, while refactoring fell by 40%.
GitClear, 211M lines (2025)
Instant demo
Acme Service Agent is a sample Agentforce build with six planted defects. Self-testing finds each one, DAAG generates the fix, and the pull request waits for your approval.
Results
50
bugs identified and corrected by DAAG in our GP Admin system
Recorded
~200 h
of conventional engineering saved, at 4 hours per bug
Estimate
84%
up to this much less code from DAAG regeneration
Benchmark
How it works
WebROI predicts the value your agent must deliver.
Fixes and tests generated. You approve the PRs.
Actual value measured against the model, with ROI Early Warning.
Closed-loop ROI measurement arrives in Phase II.
What we cover
Tested and fixed on every change
Logic checked against the value contract
Defects found and corrected
The assurance loop
Org access and data rules verified
Every connection regression-tested
Each change checked against your WebROI model
Low risk, high reward
Why choose us
Every change tested automatically.
We generate the fixes, not a list of problems.
Regeneration shrinks your codebase. The code is yours.
Same value model, same code, every time.
Every fix checked against your WebROI model.
Automated QA and coding, proven by WebROI.
Salesforce tools vs. AI Agent Assurance
| Salesforce testing tools | AI Agent Assurance |
|---|---|
| Find defects | Find and fix them: DAAG generates the fixes as pull requests |
| Need your team to run, read and fix the results | No extra developers. Your only job is to approve the PR |
| Test whether the code behaves | Test whether it still delivers the business value |
| Add warnings to your backlog | Shrink your codebase: less code, not more |
| Report issues | Cost each defect and prioritize by value at risk |
| Stop at go-live | Closed-loop ROI proves the value at renewal (Phase II) |
We use Salesforce's standard testing tools, then fix and prove the result.
FAQ
Those tools find problems; your team still has to fix them. We find, fix and prove: DAAG generates the fixes, every change is tested against your business value, and your only job is to approve the pull request.
No. We provide the team and the automation. Your people review and approve pull requests.
Yes. DAAG finds and fixes errors in your existing code. It either generates the fix or regenerates the code.
AI coding tools write more code from prompts. QA tools find bugs and leave the fixing to you. We generate deterministic fixes, test every change, and check it against the business value in your WebROI model.
You do. Fixes land in your GitHub repo, with no lock-in.
Start with a demo. We quote the rescue on the engineering scope.
WebROI predicts the value up front. Closed-loop measurement of actual value arrives in Phase II.
See it find and fix the defects in an AI agent like yours.
Book a demo at valuelogics.aiSalesforce and Agentforce are trademarks of Salesforce, Inc.