Your business knows things. Your brand guidelines, your product specifications, your customer personas, your competitive intelligence, your operating playbooks. It all lives in PDFs, Notion pages, SharePoint folders and the heads of senior team members. When a new starter joins or a campaign needs context, every question becomes a search-and-ask exercise that takes hours.
We build you a Claude powered knowledge base that turns all of it into one queryable source of truth. Your team asks plain English questions and gets answers grounded in your real operating context, with citations to the source documents. Onboarding accelerates. Brand consistency tightens. Senior team members stop being the human search engine for everyone else.
What you get:
The brand guidelines live in a PDF nobody reads. The product specifications live across five Notion pages. The competitive playbook is in a Google Doc only three people know about. The senior team becomes the search engine. New starters take six months to be productive. Campaigns ship inconsistent because the people writing them cannot find the right context.
Retrieval augmented generation gives a Claude powered model your real context at the moment of every question. Ask about brand voice on social media and it answers from your brand guidelines. Ask about competitive positioning and it answers from your strategy documents. Ask about onboarding flow and it answers from your operating playbooks. The model reasons against your truth, not the internet.
Notion, SharePoint, Google Drive, Confluence, Box, Dropbox. Brand asset libraries, DAM systems, design system documentation. CRM notes, customer success playbooks, sales enablement content. Operating procedures, financial models, board materials. Any document that holds knowledge worth surfacing, properly permissioned.
Open source RAG produces generic answers. Claude produces answers that read like a senior member of your team wrote them. The reasoning is grounded in your brand voice, your operating tone and your business context. Citations back every answer to source documents so the team can verify.
Sensitive content stays restricted. The finance team can query financial models. The sales team cannot. The leadership team can query strategy documents. The wider team cannot. Permissions inherit from your existing systems where possible and are configured cleanly where they do not.
The knowledge base answers in your voice. Not the model's default voice. Not the generic professional voice. Yours. The brand guidelines are loaded as the foundational context for every reply, so the answer is on tone by default.
New starters ask the knowledge base instead of asking three senior people. They get accurate answers in minutes. The senior team gets their afternoons back. Time to productivity shortens dramatically. Knowledge transfer compounds in line with Teylu's partnership philosophy of building independence into every engagement.
Marketing teams query the knowledge base for brand voice rules, product positioning, audience insight and previous campaign performance. The brief in becomes a draft out, on tone, with the right context baked in. Production cycles tighten and brand consistency holds.
A PDF brand guideline is frozen at the moment of publication. A live knowledge base updates as the underlying documents update. Brand evolution flows through automatically. The team always queries the current truth.
Every answer the knowledge base produces is cited to the source document. The team verifies in one click. Trust in the answers compounds because the system shows its work. Senior reviewers can spot a gap in the source material rather than rewriting the model output.
Sales reps query the knowledge base for competitive positioning, product specifications, pricing rules and battlecards. The answers are accurate, on brand and citation backed. Sales stops guessing or improvising in front of customers. Win rates lift because the conversation matches the truth.
Customer facing teams query the knowledge base for the right answer to a customer question in seconds. Response quality lifts. Escalations to senior team members drop. Customer satisfaction follows.
Project teams query the knowledge base for client-specific context, past deliverables and operating standards. Each project moves faster because the context loads automatically. Quality holds because the knowledge is consistent across the team.
Internal teams query the knowledge base for policy answers, recruitment messaging, internal communication templates and employee handbook content. The internal communication tax of a growing business drops as the knowledge base answers the routine questions.
The retrieval architecture, the document ingestion pipeline, the embedding strategy, the Claude reasoning layer, the permission model, the citation layer, the query interface, the governance documentation. End to end, configured to your stack and your operating model.
We do not throw your documents into an open source vector database and walk away. We do not point you at an off the shelf tool and call it a knowledge base. We build a configured, governed, on brand system that compounds in value with every document added.
The deployment runs on Claude through AWS Bedrock UK South, with data inside UK jurisdiction. Permission inheritance is documented. Personal and sensitive data handling is configured. The governance pack covers ICO AI Code of Practice alignment, EU AI Act categorisation and acceptable use.
Every answer is logged. Every source document is versioned. Every permission change is auditable. Your security, legal and risk teams get the audit trail they need to sign off the deployment with confidence.
Open source RAG is a starting point. A working knowledge base your team actually trusts requires brand voice enforcement, permission modelling, citation discipline, governance and ongoing tuning. We build the system. The tools sit underneath.
Enterprise platforms charge enterprise prices for generic capability. We deliver enterprise grade thinking without the enterprise overhead, configured to your brand and your operating model. The output is a system that feels native to your business, not an off the shelf tool you have to bend your business around.
Five to nine weeks from discovery to a working knowledge base in active team use. Phase one ingests and structures your priority source material. Phase two configures the retrieval, the reasoning and the brand voice layer. Phase three rolls out to the team and embeds the operating pattern.
Fixed scope build, then ongoing retainer for source expansion, governance evolution and use case extension. Most clients move to retainer because the knowledge base sharpens as more source material is added and more team members rely on it.
See how Teylu has built brand voice enforcing knowledge bases for marketing, sales, customer success and operations teams across the UK.
This is built for businesses where knowledge lives in too many places and the search tax on senior team members has become unsustainable. That usually means:
Scale-up businesses with growing teams that need consistent context without the senior team becoming the bottleneck.
Brand led businesses where on tone communication matters across teams and channels.
Sales and customer success teams needing fast, accurate, brand consistent answers in front of customers.
Agencies and consultancies running multiple client engagements where context loads matter and quality consistency is a competitive asset.
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Week 1 to 2
We map every source of knowledge inside your business. We document the priority use cases and the permission landscape. We design the retrieval architecture against your real working pattern.
A documented map of your knowledge landscape, the priority use cases and the implementation plan everyone has agreed to. You know exactly what we will build and how it integrates with your existing systems.
Week 2 to 5
We ingest the priority sources, configure the embedding strategy, build the retrieval layer and integrate Claude as the reasoning layer. We embed your brand voice as the foundational context.
A working knowledge base responding in your voice with citations. Tested against real questions from across the business. Permission tested against your sensitive content.
Week 5 to 8
We deliver the governance pack, the permission documentation and the audit posture. We train the team. We embed the knowledge base into the operating pattern of priority functions.
A live knowledge base in active team use. A signed off governance posture. A team that knows how to use it well. And the first reduction in the senior team's search tax.
Week 8 onwards
We extend source coverage as new content lands, refine retrieval as patterns become clear and add new use cases as confidence grows. The knowledge base compounds in value the more it is used.
A knowledge base that compounds in value, a senior team freed from being the human search engine and an organisation that scales context properly as it grows.
Tell us where your knowledge lives, who needs it and what the bottleneck looks like today. We will tell you whether a configured knowledge base is the right next move.
Three tiers, sized to where your knowledge management is today.
Knowledge Audit (entry tier)
A two week audit of your sources, your priority use cases and your governance position. You leave with a written readiness plan and a build estimate.
Implementation (core tier)
Five to nine week build of the knowledge base, the reasoning layer, the governance pack and the team rollout. Senior Teylu people embedded throughout.
Embedded AI Labs (ongoing tier)
Monthly retainer to extend source coverage, refine retrieval and add new use cases as the team adopts new working patterns.
Pricing is transparent, sized to the breadth and sensitivity of your source material. Talk to us.
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A configured knowledge base, built around your brand voice and your operating context, outperforms a generic enterprise platform every time. The insight is in the configuration, not in the price tag. We have built knowledge bases for marketing teams, sales teams, customer success teams and leadership groups across the UK, each one tuned to the operating model it serves.
If your team is searching when it should be doing, and senior people are spending their time on questions they have answered five times already, this is built for you.
Speak to a senior member of the team. We will scope a discovery in the call and give you a clear next step.
Is this just a chatbot trained on our documents?
No. A chatbot answers in a generic voice and often hallucinates. A configured RAG knowledge base reads your source material at the moment of every question, answers in your brand voice and cites the source so the team can verify. Trust compounds because the system shows its work.
What sources can we connect?
Notion, SharePoint, Google Drive, Confluence, Box, Dropbox, your DAM, your CRM notes, operating procedures, financial models, board materials. Anywhere your business knowledge sits, properly permissioned, can be ingested into the knowledge base.
How are permissions handled?
Permission aware retrieval is built in. Sensitive content stays restricted to the right roles. Permissions inherit from your existing systems where possible. Where they do not, we configure them cleanly during the build.
Will the brand voice really hold across the answers?
Yes. The brand voice is the foundational context for every reply. Tone, vocabulary, sentence rhythm and things to say or avoid are configured in. The answer reads like a senior member of your team wrote it, not the model default.
How long to build?
Five to nine weeks from discovery to a working knowledge base in active team use. Phase one ingests and structures your priority sources. Phase two configures retrieval, reasoning and brand voice. Phase three rolls out to the team.
Have a question we have not answered? Tell us. We will give you a straight answer, not a pitch.
