PeelForward is GPS for your business. It watches the operational data your systems already capture, tells you when something is drifting off course before it becomes a problem, and gives you verifiable proof when an improvement is real and holds.
It does two things a report cannot. It finds the few processes where AI genuinely fits and helps you put it to work there. For everything else, it drives continuous improvement and measures every change against where you started, so you can show the people funding the work exactly what it returned.
They have one thing in common. Like a BI tool or a dashboard, PeelForward reads from your systems and never writes back to them. Past that, they do different work.
A BI tool arrives as a blank slate. You design the metrics, and what you get back is only as good as how well you designed them. PeelForward arrives with the method already in it. Your data is measured against the seven signal types of Peel Signal Theory, refined across a century of continuous improvement practice, so you are not starting by inventing what to watch for.
A dashboard tells you something moved. PeelForward is built to help you find out why. When a process starts drifting, AI-guided root cause analysis walks your team toward the next right question instead of leaving them looking at a red number.
And PeelForward starts from your outcomes. You define what the operation is trying to achieve, the signals are configured against that, and the platform looks for the patterns in your data that connect the two. A BI tool reports what happened. PeelForward measures your processes against where you said you were going.
No. PeelForward is built for teams without CI training. The method is in the platform.
Three things, for each stage of the process you want watched.
A timestamp, so we know when something happened. An identifier, so we know which unit of work it happened to, whether that is an order, a quote, a batch, or a ticket. And a value or state, which is what it became: a stage reached, a quantity, a pass or fail, a dollar amount.
Most operations already capture all three. The work is finding where.
No. Ingestion is read only. We read from your systems and never write back to them. Access can be scoped to the specific tables, views, or exports you designate.
Some sources connect today. For the rest, we build the connector as part of implementation, in a working session with the person on your team who knows the data. That session is normal, not an exception.
We tell you. During setup we run a coverage audit, going stage by stage to establish what your data can actually see. Stages with no observable data are named honestly and never given invented scores.
A gap you know about is useful. A score built on nothing is not.
It depends on how much history your systems hold. PeelForward needs enough data to establish what normal looks like for your operation before it can tell you something has changed. Where your systems hold history, we backfill it, so trusted baselines can arrive in days instead of weeks.
The AI proposes. A human accepts. Nothing the AI generates is written to the record without a person explicitly accepting it. That gate is a permanent design rule, not a setting someone can turn off.
Within that boundary, AI reads signals, investigates root causes, and suggests countermeasures. Every judgment that matters stays with your team, and the platform always shows how it reached a conclusion.
Yours. AI features run under an Anthropic API key you supply, stored encrypted for your workspace, so the AI data flow stays inside your own vendor relationship rather than ours.
Cost is controlled by design. A rules engine converts proven AI patterns into deterministic checks, so a pattern the AI has already established does not need to be re-reasoned every time it recurs.
Every client runs in a dedicated database schema. Requests are scoped to that schema from your authenticated session, so no path through the application crosses between clients. Isolation is covered by automated tests that run before every release.
Yes, in transit and at rest. Connections are TLS enforced with no plain HTTP. Source connection credentials and API keys are stored AES-256 encrypted with per-client encryption keys. Database backups run daily and are encrypted.
Yes. Every write is recorded to an audit log with the actor, the action, and the before and after state. Signal history is retained so outcomes can be proven later, and deletions preserve history rather than erasing it.