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AI

Your AI is guessing. Give it a brain.

A custom knowledge layer built over your calls, docs, CRM, and Slack, so your team and your AI agents answer from the same source of truth. Audit in 1 week for €2K, build from €10K, in your stack, yours to keep.

€2K

Starting at

1 week to start

Timeline

1210

Playbook

200+

Products shipped

Start a project

You probably need a knowledge layer when…

You run a 20 to 200 person company and half the answers still live in people's heads
Your team re-explains the same things every week, in Slack, in onboarding, and now to AI tools
You tried ChatGPT or Copilot on your docs and it confidently made things up
You want answers that can point back to a source, respect permissions, and stay current as the business changes

The failure mode is usually the same

Answers live in people's heads

When the one person who knows is on holiday, work waits. When they quit, the knowledge walks out the door with them.

Five tools, five versions of the truth

The proposal is in Drive, the price is in the CRM, the decision is in a Slack thread. Nobody is sure which one is current. Your AI definitely is not.

Your AI confidently lies

You pointed AI at stale docs and it treats a 2022 SOP like today's truth. Agents without a real knowledge layer are confident liars.

Corrections disappear

Someone fixes a wrong answer once. The fix dies in a thread. The same mistake comes back next month, and the month after.

Six layers. Skip one, break the system.

01

Capture

Calls, CRM, Slack, and SOPs feed one capture layer. At DentOP, real call recordings enter retrieval only after a two-model PII sanitisation gate.

02

Retrieval

Your people and your agents pull the right context at runtime. Right answer, right now, not ten tabs later.

03

Source of truth

Freshness and hierarchy decide what wins: live beats recent beats historical. Stale docs stop outranking reality.

04

Permissions

Access follows workflow. Finance sees finance, sales sees sales, nobody sees everything by accident.

05

Feedback

Corrections become rules. Every fix makes the system smarter for everyone, permanently.

06

Execution

Agents work inside your real workflows: drafts, tickets, reports, follow-ups. Measurable outcomes, not a chat toy.

07

Portable by design

The knowledge model, retrieval logic, and integrations live in systems you control, so changing a vendor does not erase the layer.

From scattered knowledge to source of truth in as little as 5 weeks.

01.

The audit

Week 1

We map where your knowledge lives against the six layers: what is captured, what is stale, what leaks, what is missing. You get a marked-up diagnosis and a build plan with a locked price.

02.

The build

Week 2-5

We connect capture, retrieval, and source-of-truth rules to the systems that actually hold knowledge, then test the answers against known cases before anyone relies on them.

03.

Wire into work

Week 6-7

Permissions, feedback loops, and agents inside the workflows your team already uses: Slack, email, CRM, docs.

04.

Tune and grow

Ongoing

We tune retrieval, turn corrections into rules, and add new workflows as your team finds them. The system compounds instead of rotting.

Transparent pricing. No surprises.

The audit

Start here

€2K

One week, audit only, once we have access to your systems. We map your knowledge against the six layers and give you a diagnosis and a fixed-price plan for the build. The build is a separate engagement.

The build

Most popular

€10K to €20K

All six layers built into your stack, from capture to execution. Working answers on a scoped domain in weeks. Your data stays yours.

Monthly retainer

From €1K/mo

Tuning, feedback loops, new workflows, measured accuracy. The brain gets sharper every month instead of going stale.

Common questions.

  • Retrieval is one layer of six. A working knowledge hub also needs structured capture, a source-of-truth hierarchy, permissions, feedback loops, and execution inside real workflows. Skip a layer and you get an AI that answers fast and wrong.

Fix the source of truth before adding more AI.

Tell us where answers disagree today. We’ll trace the sources, permissions, freshness rules, and retrieval path that need to exist before an agent can use the knowledge safely.

Start a project

Start with the systems where people most often ask, “Which version is current?”

AI Knowledge Hub for Your Stack | Neo Vision