Company Knowledge Base
A company knowledge base is everything your business knows, put into a form AI can actually use: the structured records in your systems and the unstructured material around them — emails, notes, policies, job files — joined so a single question can cross both. It is the component that lets the rest of the catalog answer from your business rather than from the internet.
Start with a free written recommendation on one workflow, reviewed by Christopher Myers and emailed within 24 hours. No call or purchase required. Prefer a live discussion? The free assessment is a 30-minute conversation.
Where this one earns its keep.
These industries commonly have this workflow. Fit depends on your volume, tools, exceptions, and the cost of the manual work; these links are examples of suitability, not a list of customer deployments.
What it costs when the answer lives in someone's head.
Start with your actual workload and costs. Treat the calculation as a way to test the opportunity, not a promise of revenue or savings.
What to count. times a week someone asks a colleague a question the records already answer × both people's time. Use gross profit rather than total revenue when valuing recovered business. Subtract software, maintenance, and human review costs, and avoid counting the same saved time twice.
The ROI calculator models the same shape across a whole team, and its assumptions are published in full underneath it. The number that actually matters comes out of an AI Readiness Audit, which measures your workflows instead of averaging them.
What should a useful answer include?
A useful company answer includes a source the reader can inspect and respects who is allowed to see it. Define that behavior using the questions your team already asks.
Start with a question and its source
An illustrative question is: “Which documents are required before this request can be approved?” The expected response points to the current procedure, lists the relevant requirements, and identifies any missing information. It should not invent the status of a record it cannot access.
Keep permissions with the information
Identify the people or groups allowed to use each collection. Test that a person cannot retrieve restricted content through a summary, a citation, or a follow-up question. Connecting a shared folder does not mean every employee should see every file.
Give updates an owner
Name the source owner and agree how revised, superseded, and deleted material reaches the knowledge base. Show the source version or date where it helps the reader. If two policies conflict, the workflow should surface the conflict for review rather than quietly choose one.
Test missing and conflicting answers
Use representative questions with known answers, questions outside the sources, restricted questions, and outdated documents. Check whether the cited source actually supports the answer. Include the time needed to verify and correct responses in your evaluation.
Read the published knowledge-work results · Compare private AI arrangements · See implementation scope
Discover, build, evolve.
Define the operating boundary before choosing a model or a tool. Your written scope connects the workflow to the systems, decisions, and people it depends on.
Discover. Start with a free workflow plan for an initial written recommendation based on what you share. Use an AI Readiness Audit when the workflow, tools, and exceptions need deeper investigation, or discuss direct sprint scoping if the work is already defined.
Build. Agree the scope and fixed quote before work begins. Define routine actions that may run automatically, decisions requiring human approval, and the tests the workflow must pass.
Evolve. Once it is live it needs watching: what it handles, what it escalates, what changed in your business since. That is Managed Services, and it is optional.
Delivered through AI Implementation Sprint.
The range below is for the delivering service, not a per-feature price. Your quote identifies the capabilities, integrations, and operating requirements included in the engagement.
An AI Readiness Audit runs $3,500–$8,500 and tells you whether this build is the right first move. This capability is delivered through AI Implementation Sprint; several related capabilities may share one scoped engagement. $18,000–$60,000, quoted fixed in writing before work begins.
Company Knowledge Base, asked plainly.
01Do we have to reorganise our files first?
We inspect the source records during scoping. Some can be connected as they are; others need cleanup, ownership decisions, or access changes before reliable answers are possible.
02Where does it live?
The scope defines where it runs and who can access each source. A local deployment can keep processing on your hardware; any private-cloud or external component requires its own data review.
03What happens when a policy changes?
The source document must be updated and the knowledge base refreshed. The scope should specify the refresh process and how the team checks that answers use the current version.
04What does it cost?
It is delivered through an AI Implementation Sprint, quoted fixed in writing before work begins.
One workflow. A written first step.
Describe the task and the tools involved. Christopher Myers reviews your free workflow plan, emailed within 24 hours, with an initial recommendation on where to start and what needs scoping. No call or purchase required. The plan is not a paid audit or a fixed implementation quote.
Prefer to talk it through? Book a free 30-minute assessment for a live discussion of fit and next steps.