An answering system over your own sources
A place your team asks questions in plain language and gets answers drawn only from the material you approved, with the source named on every answer.

Enterprise Knowledge
Give your team answers grounded in the documents they are allowed to use, with the source attached.
Illustrative workflow
Ask which expense approval rule applies.
Sample source
Policy conflicts and missing evidence go to the policy owner.
Baseline first. Review after launch.
What this system does
Your business already knows the answer to most questions your team asks each day.
It is in a policy, a signed contract, an SOP written two years ago, or a proposal someone wrote for a similar client. The problem is finding it. This system answers questions from those sources, shows where each answer came from, and respects who may see what.
It takes on the searching. A question is checked against the sources the person asking is permitted to see, the relevant passages are found, and an answer is written with the citation attached, so the reader can open the original and judge it. Where the evidence is thin or contradictory, the system says so instead of filling the gap with something plausible.
What stays with people is authorship and ownership. Source owners still write the policy and approve the SOP; the system only makes their work reachable. When a question has no good answer, that gap is routed to the owner rather than left unanswered, so the knowledge base improves through use rather than through an annual clean-up nobody has time for.

A place your team asks questions in plain language and gets answers drawn only from the material you approved, with the source named on every answer.
A written record of which collections are included, who owns each one and who may see it. It is the document that makes access arguments short.
Questions your team actually asks, with the answers your experts agree are correct. We test against it before launch and re-run it after every change to the sources.
Unanswered questions, stale documents and contradictions collected in one place and routed to the owner who can resolve them.
A record of questions asked and sources used, a simple view of adoption and unanswered rates, and notes for whoever maintains the system.
Someone asks a question where they already work: a chat tool, an internal page, a search box.
We agree the channels first, because a system nobody passes on the way to work goes unused.
The question is answered only from sources that person is permitted to see.
Permissions come from your existing access rules, and we test that restricted material stays restricted before launch.
The relevant passages are found across the permitted collections, with the current version preferred over the superseded one wherever versioning exists.
An answer is written with citations to the passages behind it.
If the evidence is missing, weak or contradictory, that is stated plainly rather than smoothed over.
Unanswered questions and flagged contradictions go to the source owner.
Their fixes update the sources, and the evaluation set grows with the questions that caught a problem.
Bring one workflow. We will tell you whether it is worth building.
Talk to BYBOEvery source is added deliberately, with its owner named and its access rules carried through, and restrictions are tested before anyone is given the system.
Investment
BYBO publishes no prices. What this costs depends on how many sources you include, what state they are in and how strict your access rules are, so scope and fee are agreed in writing before paid work begins. The first conversation costs nothing. Most engagements start with the Blueprint, a paid diagnostic ending in a recommendation and a 90-day roadmap.
The build is one cost; running it is another. Sources change, questions arrive, the evaluation set is re-run and someone reviews the gap queue. We set out both before you commit, and the cost guide explains the arithmetic in more detail.
Measured against your baseline
We agree a baseline for how answers are found today, then compare the same measures after launch and at each review point.
Source owners review gaps and changes, and unsupported answers are withheld. That is the rule the design rests on: an answer without evidence is not offered, because a confident wrong answer about a policy is worse than no answer at all. Owners decide what enters the sources, what is retired and how a contradiction is resolved. Readers can flag an answer, and a flagged answer becomes a case in the review queue rather than a complaint that disappears. Nothing is published to a wider audience on the strength of a system answer alone. Our guide on a named owner for AI systems explains why this role matters more than the technology.
Questions
If yours is not here, ask us. The first conversation is free.
Talk to BYBOThe design is intended to prevent it: answers are drawn from retrieved passages, citations are shown, and where evidence is missing the system says so and routes the gap to an owner. No system is perfect, which is why every answer carries the source. If a reader cannot check the answer, the answer has not done its job.
It should show both and say they disagree, rather than quietly choosing one. Where versioning exists, the current document is preferred and the superseded one marked. Persistent contradictions are logged for the source owner, because the real fix is in your documents rather than in the retrieval.
No, and we would rather you did not spend six months tidying before starting. We begin with the collections that answer the most common questions and note what is unusable. Documents that exist only as scans may need document handling before they can be searched properly, and the Blueprint identifies that early.
By testing on questions your own experts have answered. We agree an evaluation set before launch, measure against it, and re-run it whenever sources or configuration change. That gives you a number you can argue with, rather than an impression formed from a few demonstrations.
Then this is the wrong first step, and we will say so. A retrieval system can only reach what is written down. Where the useful knowledge sits with two or three experienced people, the honest recommendation is often to capture a small amount of it well before building anything.
A conversation about the questions your team keeps asking and where the answers currently live. If it looks suitable, a Blueprint examines your sources, sets a baseline and ends with a recommendation and a 90-day roadmap. You can also start an enquiry describing your sources.
An internal knowledge system earns trust by showing its evidence, respecting the permissions people already have, keeping each source owned and current, and saying plainly when it does not know.
Read the articleMost institutional knowledge lives in a few people’s heads. AI can help turn it into procedures worth following, provided a person owns each document and approves every version.
Read the articleA demonstration proves a system can work once. An evaluation set built from your own cases, including the awkward ones and those where stopping is the right answer, tells you whether it works often enough to release.
Read the article