Record it once.
Understand it forever.
Show Bina how work happens. Bina builds what should happen next.
Every dashboard, automation, and AI agent Bina produces is built on the same foundation: a Discovery recording that captured how the work actually gets done. Not how it’s documented to be done. How it actually is.
“Most AI tools start by automating what nobody fully understands. Bina starts by understanding what the team already does.”
Five sources of truth. One foundation of understanding.
Discovery isn’t just screen recording. It’s a structured capture system that ingests the five places where operational knowledge actually lives — most of them outside your documentation.
Show, don’t describe.
The work, narrated by the people doing it.
Screen recordings of real tasks performed by your team — billing reconciliation, audit reviews, customer onboarding, whatever the work is. The recording captures every click, every decision point, every “and then I check this other thing because last quarter we got burned” aside that never makes it into an SOP.
The official story.
Whatever your team actually wrote down.
Standard operating procedures, runbooks, training materials, contracts, policies. Bina ingests them all and treats them as the documented version of operations — useful as a starting point, but always cross-referenced against what the recordings actually show happening.
Where the work lives.
The applications, databases, and spreadsheets your team uses every day.
Read-only access to the systems where work happens — your CRM, your ERP, the spreadsheet that runs operations, the legacy app nobody wants to touch. Bina learns the data shape, the field semantics, and the invariants that keep your operation working.
Why it actually works the way it does.
The decisions made in meetings that never made it to the wiki.
With permission and review, Bina ingests meeting transcripts, Slack threads, and email exchanges that contain the operational reasoning behind how the business runs. The “we do it this way because of what happened in 2022” knowledge gets captured before the people who remember it leave.
The one conversation no AI tool has ever bothered to have with your team.
A structured interview with the people who actually do the work.
The most underrated capture method, and the one most tools skip entirely. Bina Discovery includes structured interview sessions with the operators of the business — the people who do the work every day. We ask them the questions that would never appear in a JIRA ticket: “What’s the part of this process that always breaks? What’s the workaround? What did your predecessor warn you about? What would you tell someone on day one that we won’t read in any document?” The answers become the most valuable comprehension layer in the entire engagement.
What looks like a recording becomes structured operational knowledge.
Discovery isn’t an archive. The recordings, documents, and conversations get processed into a comprehensible model of your business — the foundation everything else gets built on.
Capture
Recordings, documents, system observations, conversations, interviews — all ingested into one place.
Process
Bina extracts patterns, decisions, exceptions, and rules. The implicit becomes explicit.
Comprehend
A structured model of how the business works — queryable, auditable, and shared.
The output isn’t a transcript. It’s a comprehension layer the rest of the platform reads from.
Three places recording-first beats automation-first.
Discovery is the right entry point for any business where the most valuable knowledge isn’t documented — only practiced. Here are three of the most common.
Operations
The operations team with knowledge that walks out the door.
You have a senior operator who's been doing the work for years. They know things about your business that nobody else does. They're retiring, getting promoted, or threatening to leave. Documentation has been “on the roadmap” for three quarters.
Discovery captures their knowledge in two weeks of structured recordings and interviews. The comprehension stays with the business when they don't.
Common scenario: Insurance audit teams, claims operations, regulatory compliance, anyone whose work depends on years of pattern recognition that's never been written down.
Automation prep
The automation initiative that keeps stalling at “what does the process actually do?”
You've tried to automate a process. Three vendors gave you proposals. Two of them assumed the SOPs were accurate. One demoed a great workflow that doesn't match how the work actually happens. Now you're six months in and nothing has shipped.
Discovery shows the actual process — including the seven exceptions nobody documented and the four decision branches that depend on operator judgment. The automation that comes next is built on what the work is, not what the documentation says.
Common scenario: BPO operations, finance ops, claims processing, anywhere “we have an SOP” turns out to mean “we have an SOP from 2019 that's been worked around twelve times.”
AI strategy
The AI strategy that needs a starting point that isn’t a chatbot.
Leadership wants AI in the operation. The team has tried three pilots — a chatbot for support, a copilot for the analyst team, a vendor's “intelligent automation” demo. None of them produced operational improvement that survived the pilot.
Discovery is the alternative entry point. Instead of starting with the AI tool and working backwards to a use case, you start with what the business actually does and let the comprehension dictate which AI applications make sense — usually two or three high-leverage ones, not twelve generic ones.
Common scenario: Mid-market services businesses where AI feels like it should be transformational but pilots keep failing for reasons nobody can quite articulate.
From kickoff to comprehension in four weeks.
Discovery is a fixed-scope engagement. You know what you’re getting and when.
Kickoff & scope.
We work with you to identify the operations to capture, the people to record, the systems to observe, and the conversations to ingest. You leave the kickoff with a clear capture plan and a list of artifacts Bina will collect over the next three weeks.
Recording sprint.
Operators perform the work as usual; recordings happen alongside. Bina ingests documents and reads from the systems you’ve granted access to. No process redesign, no re-engineering. Just capture.
Interviews & gap-filling.
Structured interviews with the operators. The questions are written based on what the recordings showed. We surface the rationale behind decisions, the workarounds, the edge cases, and the institutional memory that's not visible in any artifact.
Comprehension review.
You receive the comprehension model — a queryable, auditable representation of how your operation actually works. We walk through it together. You see the gaps, the patterns, and the leverage points. From there, you decide which dashboards, automations, or agents to build first.
One recording. Infinite leverage.
A 30-minute Discovery call. We’ll show you what Bina would learn from your operation in week one — and what that comprehension unlocks downstream.
Book a Discovery call→