01
Knowledge bases
Turn scattered information into a trusted source your AI can find, understand, and use. Organize your knowledge, manage access, and keep context current.
⟶So you’re wanting to build a cool thing or already have, but you can’t automate it or connect it or get the most out of it? We got you.
01 / Our expertise
Practical support at every layer of your AI system.
01
Turn scattered information into a trusted source your AI can find, understand, and use. Organize your knowledge, manage access, and keep context current.
⟶02
Connect the systems you already use and put repeatable AI workflows into everyday practice, with people involved where judgment matters.
⟶03
Explore AI vendors for models, coding, workflows, CRM, support, data, and creative work. Choose a setup around your requirements, existing systems, and budget.
⟶04
Optimize token consumption with advanced model routing. Match each task to a suitable model, keep context focused, and evaluate quality alongside cost.
⟶Illustrative example
Can this customer return an item bought 40 days ago?
Permitted sources
Missing information flagged
| Option A | Option B | Option C | |
|---|---|---|---|
| Fits existing CRM | Yes | Partly | No |
| Access controls | Strong | Basic | Strong |
| Expected volume cost | Medium | Low | High |
Generic options, not named vendors
Tiers are generic and illustrative, not vendor prices or measured performance.
Your business connects to knowledge, workflows, and tools. These feed intelligent model routing to select the right model for each task.
02 / Our approach
Good AI infrastructure starts with a clear job to do. We work with your team from the first decision through everyday use, connecting business priorities, practical implementation, and ongoing support.
Map how your team works today, where information lives, and which tasks deserve attention. Agree on priorities, constraints, and who will own the system.
You leave with
A prioritized use case, a defined scope, and clear success criteria.
Design the knowledge, tools, models, and agent roles around that use case. Define data access, human review, and what happens when a task cannot be completed.
You leave with
An architecture, a tool shortlist, and a plan for permissions and handoffs.
Connect the necessary sources and systems, configure agent skills, and build the workflow for a limited set of tasks. Keep actions bounded and make failures visible.
You leave with
A working pilot with documented skills, integrations, and review points.
Try representative tasks, difficult inputs, missing information, and failed connections. Review answer quality, action accuracy, response time, and usage cost together.
You leave with
Evaluation results, a list of fixes, and an agreed decision on rollout.
Introduce the system in manageable stages. Show people how to use it, when to review its work, and how to flag a problem or reach the right person.
You leave with
Team guidance, operating documentation, and a named owner for each handoff.
Review real use, refresh knowledge, and maintain connections as your tools change. Recheck quality and cost when prompts, models, sources, or workflows are updated.
You leave with
A maintenance plan, a review cadence, and a clear route for fixes and improvements.
Clear ownership. Practical support.
We can advise on the design, handle implementation, and provide ongoing support. We agree on responsibilities with your team, document how the system works, and make room to adapt as your needs change.
Talk through your starting point ⟶Let’s talk about what you need and where to begin.
Start a conversation ⟶Have questions? Find us at info@t30journal.com