Pointee maps how work actually runs — from AI-led interviews, the documents you already have, and real system data. You get a validated, costed process map that shows exactly what to automate first, in days instead of weeks.












Ask ten people how a process works and you'll get ten answers — none of them the whole truth. Most discovery rebuilds the process from memory and meetings, then automation inherits every wrong assumption. Pointee starts from evidence: what people really do, and what the systems really show.
The real process, including every exception, is known only to the people doing it, and it's never written down in one place.
Workshops and diagrams take weeks, then drift out of date the moment the process changes. Nobody trusts them.
Without per-step data on volume, effort and exceptions, automation candidates get picked on gut feel — not impact.
Discovery is typically the longest, hardest part of any automation project. Pointee compresses it from weeks to days — and makes the output far more reliable.
Discovery is the biggest bottleneck in any automation project — typically two to six weeks of workshops, write-ups and back-and-forth. Pointee gets you to a validated, automation-ready process map in days, so you move from idea to running automation before competitors finish their kick-off meetings.
Pointee builds from real interviews, documents and system data — not memory or meetings. The result shows how work actually runs, exceptions and all, and surfaces hidden risks and gaps before they become problems in production.
Per-step volume, effort and exception data tells you exactly which parts of a process have the highest ROI — before you write a single line of code. You stop guessing and start investing only where it counts.
Four steps, all in one platform — so what you discover flows straight into what you build.
AI interviews the people who do the work — and reads your documents, screen recordings and system logs.
Pointee drafts a structured, fully-cited process map — stages, steps, systems, risks and decisions.
Review and refine on a visual canvas, with a completeness checklist that tells you when it's ready.
Quantify the automation opportunity, then turn the approved map into a running workflow.
A connected set of tools that take you from a blank page to an approved, analyzed process map.
An AI interviewer talks to the people who actually do the work. It greets them, asks the right questions, digs into the exceptions, and writes structured notes live as the conversation unfolds.
A map is only as good as its inputs. Pointee builds yours from real evidence — not a conference-room whiteboard — and cites the interview or file behind every item it proposes.
Ask Pointee to build the discovery from your interviews and sources. It drafts the full structure — and captures the signals that actually decide whether a step can be automated.
A drag-and-drop canvas lays out the whole process — stages, steps, decision branches, triggers and transitions. Edit any element inline, drop in sticky notes, or ask Pointee to draft stages, add a step, reorder, or add a risk.
Share the map read-only with stakeholders and let them comment in context — anchored to the exact step or stage in question. No more marked-up PDFs flying around over email.
Discovery isn't done when the map looks complete. It's done when it's validated and the opportunity is quantified.
An advisory checklist tracks whether each process is well-formed — a primary goal, an owner, risks captured, KPI targets set, and a defined success end.
Generate an as-is analysis straight from the discovery doc. Pointee scores every step, attaches an indicative cost, and shows where the time and money go — so you decide what to automate, redesign, or leave as-is before anyone builds a thing.
Standalone mapping tools hand you a diagram and stop there. Because Pointee's discovery lives in the same platform as your automations, an approved map becomes the blueprint for the workflow you build next — and once it's running and monitored, the KPIs you defined populate with live values and feed straight back into discovery. One connected loop — from "how does this actually work?" to measurable, automated results.
Discovery touches real systems, real documents and real people. Pointee is built to handle them safely — and to capture the compliance context right in the map.
AES-256 at rest and TLS in transit, with keys managed in your cloud key vault.
OIDC single sign-on, with team-level access policies on every process library.
Flag data classifications and tags like SOX or GDPR on the steps that touch sensitive data.
Book a 30-minute demo and watch Pointee turn a real process into a validated, analyzed map.