DataFramer

For teams building AI into real products and business workflows

Connect journeys across people, systems & AI.
Improve Outcomes.

Connect user actions, human work, systems, business data, and AI agents. Find what’s driving outcomes, what to change, and whether the change worked.

Start with free credits. No credit card required. Or see DataFramer in action with our team.
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USERS Clicks · Retries Submissions · Drop-offs Uploads · Purchases PEOPLE Reviews · Overrides Approvals · Corrections Decisions · Escalations BUSINESS SYSTEMS CRM · Backend Claims · Payments ERP · Support BUSINESS DATA Revenue · Cost Status · Milestones Conversion · Cycle time AI AGENTS In-house · Vendor Copilots · Agents Models · Tools Connect Journeys & Workflows Find Patterns Behind Outcomes Change → Measure → Improve outcomes

Why DataFramer exists

Knowing what’s driving the outcome is the hard part.

Important user journeys and business workflows now run across users, people, systems, business data, and AI, whether that AI is built in-house or bought. Each part can look fine on its own while the overall outcome stalls, gets reworked, or costs more than it should.

Tasks completed successfully

Escalations to a human

Process completion time

Human corrections and retries

Cost per completed task

People who gave up midway

Support tickets raised

People coming back to use it

01

End-to-end view

The full journey or workflow is hard to see.

User actions, human work, systems, business data, vendors, and AI live in different places. Teams can see pieces, but not the path from first action to business outcome.

02

Drivers of outcomes

We know the outcome, but not what drove it.

Conversion, cycle time, rework, cost, quality, or revenue moved. The hard part is knowing which journeys, handoffs, decisions, systems, or AI behavior explain the difference.

03

Expert knowledge

Expert knowledge doesn’t carry forward.

Domain experts know what good looks like and why. Their corrections and decisions rarely become reusable context for future cases, workflows, or automation.

04

Change & impact

Changes are hard to trust.

A process, routing, system, vendor, model, or prompt change can fix one problem and create another. Teams need to see what changed and whether the business outcome improved.

05

Compounding context

Improvements don’t compound.

Findings, decisions, fixes, and results are spread across tools and teams. What the business learns from one change rarely becomes context for the next.

FROM JOURNEY TO OUTCOME

Better outcomes come from understanding the whole journey, then fixing what is holding it back.

DataFramer connects the full path to the outcome, so each change builds on the last one.

Connect

Bring the whole journey together

Connect user actions, human work, systems, business data, workflow events, and AI into the same journey or case, so you can follow the path from first action to final outcome.

Outcomes

Measure the outcomes that matter across the whole journey

Completion, conversion, cycle time, rework, human effort, cost, quality, risk, and revenue, measured on the journey or workflow rather than on one step.

Find the cause

Find the recurring patterns behind poor outcomes

Compare cases that went well against cases that did not, group the recurring patterns into clear findings, and see where in the workflow each one comes from. Go deep on the AI step when AI is part of the cause.

Expert judgment

Capture expert judgment so it is not lost

Put important cases in front of domain experts with full context. Their decisions, rationales, and corrections become reusable context for future cases, judge calibration, and automation.

Prove the impact

Know whether the change actually worked

Measure the same journey and the same outcomes before and after a process, routing, system, vendor, model, or prompt change, and confirm it improved the result without reintroducing old problems.

Enterprise clarity with startup voltage.

Start improving your business outcomes.

Start with free credits. No credit card required. Or see DataFramer in action with our team.