Platform Intelligence Layer
BrainARC™
Captures the knowledge nobody ever wrote down, maps it against everything that is written down, scores how much you can trust it, and turns the gaps into a plan before the person who knows leaves.
Before capture
Confidence, after capture
Expert's remaining tenure
Transfer status
Sample knowledge item shown for illustration. Names, systems, and incidents are fictional.
Every Organization Runs on Things Nobody Documented
The config nobody touches because of an outage three years ago. The fallback path only one engineer remembers. That knowledge lives in people's heads or scattered across systems nobody has one view of, and both are risky.
Slower Incident Resolution
When the person who understands a system is unavailable, resolving an incident takes longer than it should.
Longer Onboarding
New hires spend months rediscovering what a departed expert already knew.
Repeated Mistakes
Lessons from past incidents get relearned instead of reused, because they were never written down.
Key-Person Dependency
A small number of people, and often contractors, become the only path to critical answers.
Legacy Modernization Risk
Modernization projects start without the business context that explains why a system was built the way it was.
Rising Continuity Risk
Every retirement, resignation, or team move increases how much undocumented knowledge could disappear at once.
Six Modules, One System for Institutional Knowledge
BrainARC captures, connects, scores, and transfers knowledge, with humans approving what matters most at every step.
Brain Capture
AI interviews with experts that adapt their follow-up questions as the conversation goes deeper.
Brain Ingest
Connectors pull from your existing enterprise sources, no new system to maintain.
Brain Graph
Maps the relationships between people, systems, processes, decisions, and incidents.
Brain Health
Scores knowledge confidence, freshness, and risk, so you know what to trust and what to fix.
Brain Copilot
An assistant that answers questions with sources and a confidence score attached to every answer.
Brain Transfer
Turns identified knowledge gaps into targeted, actionable knowledge-transfer plans.
Watch a Knowledge Item Move Through All Six Modules
This is a sample scenario, not a real employee or system. Step through it to see exactly how a knowledge gap gets closed.
Brain Capture
An adaptive interview is underway with a senior platform engineer, questions adjust based on what the expert has already said.
"You mentioned a fallback route was added after the 2023 outage. What specifically triggers it?"
Expert
Senior Platform Engineer, retiring in 90 days
Progress
Question 4 of 7
Not Another Knowledge Base. Not a Chatbot. Not a Monitoring Tool.
These are the boundaries BrainARC is built around, not features to configure later.
Captures the Undocumented
It captures what was never written down anywhere, not just what a search index can already find.
Every Answer Is Traceable
Ask "why did you say this," and get a confidence score and a source, not just an answer.
Conflicts Get Flagged, Not Hidden
Disagreeing sources are surfaced for a human to resolve, never silently averaged into one answer.
Identifies Single-Person Dependencies
Builds an exit or retirement knowledge-preservation plan before the risk becomes a loss.
Humans Approve Critical Knowledge
AI output is never treated as truth by default, a person signs off on what matters most.
Respects Existing Permissions
Employees only ever see what they could already access in the source system.
It is not built for employee monitoring or performance evaluation. It is built to preserve knowledge, not to track individuals.
From Undocumented Risk to a Sourced Answer
Identify the Risk
Brain Health surfaces where knowledge is thin, stale, or dependent on one person.
Capture and Ingest
Adaptive interviews and enterprise connectors bring the knowledge together in one place.
Validate and Score
Conflicts are flagged, confidence is scored, and a human approves what is critical.
Transfer and Answer
Gaps become a targeted transfer plan, and everyday questions get a sourced answer.
Deployment timeline figures withheld until backed by engagement-specific data. Publish the process, not invented numbers.
A Related Pattern Has Already Worked, BrainARC Itself Is New
BrainARC does not yet have its own published case study. The figure below is from a related sourced-answer knowledge deployment, Brain Copilot's closest adjacent pattern, not this specific product.
Drop in support ticket load when questions got sourced, self-serve answers instead of a manual search
Every answer is traceable to a source and a confidence score, by design, not added on after the fact
Critical knowledge never ships until a person signs off, no AI output treated as truth by default
Questions IT and Operations Leaders Ask First
A knowledge base or chatbot can only answer from what is already written down. BrainARC captures what was never documented in the first place, through adaptive expert interviews, and maps it alongside everything scattered across your existing systems.
No. Humans approve critical knowledge before it is treated as reliable. AI output is never treated as truth by default, every answer carries a confidence score and a source.
Conflicting information across sources is flagged for human validation rather than silently resolved or averaged.
No. BrainARC respects source-system permissions, so employees only ever see what they could already access in the original system.
No. It is not built for employee monitoring or performance evaluation. It is built to preserve knowledge, not to track individuals.
No. It ingests and connects to your existing wikis, tickets, email, chat, and code, and fills the gap those systems cannot cover, the knowledge that was never written down anywhere.
Map Your Own Key-Person Risk
45 minutes, agenda published below so there are no surprises. Bring one retirement, resignation, or team change you are already worried about.