Agency reporting
Too much time turning exports into client updates?
Evaluate the AI-assisted reporting step for factual accuracy, missing data and review effort—not just fluent writing.
For agencies & small teams already using AI
Make your AI spend earn its keep.
Find out what one AI workflow really costs, where quality breaks, and which changes are worth making—before you pay to automate more.
$750 founding diagnostic · one workflow · five working days after agreed scope and complete inputs
No production changesSanitized, approved inputsQuality before savingsNo software subscription required
Start with a real bottleneck
One workflow. A decision you can use.
Customer support
Cheaper answers are expensive when they’re wrong.
Test response drafts against approved knowledge, required citations and the cases that must reach a person.
Document operations
Extraction is easy. Handling exceptions is the work.
Compare field accuracy, validation failures and human review needs on representative sanitized examples.
Best for a repeatable AI workflow you already run. Starting from scratch? We’ll first establish whether a separately scoped pilot makes sense.
Evidence, not a savings promise
The cheaper candidate lost.
In our synthetic sample, a candidate used fewer tokens and responded faster. It also failed a required automated check. The decision: reject the change.
That’s the point of the diagnostic. You receive the failed experiments as well as the promising ones.
Inspect the sample scorecardIllustrative test · synthetic data
Baseline6 / 6 checks
Candidate5 / 6 checks
DecisionDo not switch
Synthetic qwen2.5:7b run, September 3, 2026. Automated checks are not full factual review or production approval.
Try the interactive workbench →How it works
A small engagement. A clear finish line.
Check the fit
Describe the workflow, the bottleneck and your available examples. No credentials or customer records needed for the first conversation.
Agree the test
Set the scope, data-handling plan, acceptance rules and price in writing. The five-day clock starts after the prerequisites are complete.
Decide with evidence
Review the findings and prioritized backlog. Implement internally, request a separate proposal, or stop with the evidence.
Then automate what proves useful
Agents built around outcomes.
Not a collection of bot names.
Explore supervised patterns for support drafts, sales qualification and data review. Each customer pilot needs its own integrations, tests and approval boundaries before live use.
Explore agent pilot optionsFounder-led
Work directly with Srikant.
Srikant Voruganti brings enterprise architecture discipline to a tightly scoped AI engagement: clear requirements, measurable acceptance and documented trade-offs.
Meet the founder →Founding diagnostic: $750
The founding offer is capped at two qualified teams. Availability is confirmed in writing—there is no live slot counter. Implementation, ongoing operations and third-party charges are separately agreed.
Questions about scope and fit →Residual Forge / founding cohort
Know which AI costs are buying quality—and which are just waste.
Start a fit conversation →
Tell us which AI workflow you run repeatedly and where cost, latency, or quality is creating friction.