Most businesses adopt AI by signing up for a subscription, sharing the login and hoping for the best. Six months later there is no team structure, no consistent way of working, no security posture, no governance. The promise of AI dissolves into a handful of power users and an organisation that quietly stops trusting it.
Teylu sets your team up properly from day one. We configure Claude and the Anthropic workspace, build the team and project structure, embed the operating model, write the prompts and skills that match your business and document the governance your security team will need. The sharpest thinking comes from teams that have the right foundation. We build it.
What you get:
An AI rollout is not a software installation. It is a working practice change. Without team structure, project organisation, prompt frameworks and governance, every employee invents their own version. Output quality varies wildly. Sensitive data leaks into the wrong workspaces. Compliance teams get nervous. The board concludes AI was overhyped.
Sharpest thinking, not biggest budgets. A properly configured workspace, a clear operating model and a few well-built skills outperform a thousand ad hoc prompts. Teams use AI consistently. Output quality stabilises. Sensitive data flows through the right permissions. The board sees the return.
Anthropic teams, projects, members, permissions, billing tiers. Claude.ai for business workspace setup or Claude Enterprise as appropriate. Workspace knowledge bases tied to your operating principles. Custom skills built against your priority use cases. Project structures for each business function. Audit and usage reporting tied to your governance model.
Claude is the leading model for the kind of work most businesses actually want from AI: writing, reasoning, document analysis, customer communication and structured output. The Claude API runs on AWS Bedrock UK South, so UK businesses keep data inside UK jurisdiction. Anthropic's Constitutional AI approach makes the model the right choice for regulated and enterprise buyers.
Generic AI use produces generic output. We build custom skills for the specific work your team does: briefing templates, brand voice enforcement, financial models, customer response patterns, RFP scaffolds, board paper drafting. The skills encode your operating standards so the model produces output you can actually ship.
Each project gets the knowledge it needs. Brand guidelines, product specifications, customer personas, past campaigns, market intelligence. The model reasons against your real context, not the public internet. Output quality lifts immediately.
Acceptable use policy. Data classification rules. Sensitive data handling. Access control. Audit trail. Model card documentation. EU AI Act categorisation and ICO AI Code of Practice alignment. We deliver the governance pack your security, legal and compliance teams need to sign off the rollout with confidence.
The right workspace structure, the right project taxonomy, the right escalation path when output is sensitive. We define how marketing, sales, operations and leadership each use the workspace, what gets shared and what stays private. The structure scales as the team grows.
We use Claude every day to deliver client work across data unification, creative production, brand design systems and lead scoring. The patterns we build into your workspace are the patterns we have proven in our own operating model. You inherit the playbook, not a theoretical setup.
Teylu are active builders on the Anthropic platform. We track the partner ecosystem, the model roadmap and the supporting tooling closely. As Anthropic releases new capabilities (skills, the Agent SDK, the Model Context Protocol), we evaluate them against client needs and bring the ones that compound value into your setup.
Brand voice skills, content brief templates, campaign scaffolds, performance reporting helpers. The marketing team produces on brand work faster, with the brand foundation enforced at the point of generation. Performance creative ideation that used to take days becomes a same-day cycle.
Account research skills, proposal scaffolds, RFP response drafting, call follow-up generation. The sales team spends more time in conversations and less time on the writing work that surrounds them. Account intelligence sharpens. Forecast accuracy improves because the work is consistent.
Policy drafting, process documentation, board paper structuring, contract review support, financial commentary drafting. Operations teams ship faster. Finance teams produce sharper commentary. The internal communication tax of a growing business drops.
Strategy stress testing, decision logic structuring, board paper drafting, communication scripting. Leadership uses Claude as a thinking partner. The quality of internal thinking lifts. The CEO walks into the board with sharper preparation than the year before.
The workspace is properly structured. The team has a clear, shared way of working. The first two or three custom skills are live for priority use cases. The governance documentation is in your hands. The senior leaders are using Claude for real work, not experimenting.
Skills coverage extends across departments. Project knowledge bases hold your real operating context. Output quality is consistent. The internal AI capability you have built starts to compound, with senior team members training the rest of the organisation on the patterns that work.
We deliver the workspace with an EU AI Act categorisation, an ICO AI Code of Practice alignment summary and an acceptable use policy your legal and risk teams can sign off. The 2 August 2026 high-risk obligations are designed in from day one, not retrofitted later.
For UK businesses serving regulated buyers, the Claude API runs on AWS Bedrock UK South with data inside UK jurisdiction. For Claude.ai workspaces, we configure data retention, model training opt out and sensitive data handling to match your governance posture. Nothing is left to chance.
The Big Four will charge a quarter of a million pounds to write you a strategy document. We deliver a working setup, a trained team and a governance pack in weeks. Senior Teylu people on every call. No junior consultants on your budget. The premium comes from independence, not overhead.
Teylu means family. We build for your independence. The skills are documented. The operating model is yours. The governance pack is yours. We are still available as the embedded AI Labs partner if you want us, but the goal is a team that owns the practice rather than depends on us.
Three to six weeks from kick-off to a properly configured workspace with the first wave of skills live and the governance pack delivered. Phase one configures workspace, teams and permissions. Phase two builds priority skills and project knowledge. Phase three trains the team and embeds the operating model.
Fixed scope setup, then optional retainer for ongoing skill development, model evolution and team training as Anthropic ships new capabilities. The retainer is where most clients land because the platform evolves quickly and a current operating model is worth more than a frozen one.
See how Teylu has set up Claude and Anthropic workspaces for marketing, sales and operations teams across the UK, with the skills, governance and operating model that make it stick.
This is built for businesses that recognise the value of AI but lack the in-house capability to set it up properly. That usually means:
Mid market and scale-up businesses wanting to roll out AI across teams with the governance and consistency a serious organisation needs.
Traditional UK businesses moving from no AI to a properly structured workspace, where the lift requires both the technical setup and the operating model.
Marketing, sales and operations leaders who have seen Claude work in pilots and now need a team-wide implementation that scales.
Regulated and enterprise sellers needing the governance pack to satisfy security, legal and procurement reviews before AI gets used on client data.
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Week 1
We meet your leadership, marketing, sales, operations and IT teams. We document the use cases that matter, the data sensitivities and the operating constraints. We design the workspace structure and the operating model.
A documented operating model for AI inside your business. You know exactly how each team will use Claude, what the governance looks like and what the first wave of skills will cover.
Week 1 to 3
We configure Anthropic teams, projects, members and permissions. We build the priority skills for your use cases. We configure project knowledge bases for the work that needs your real context.
A properly configured workspace with the right structure, the right permissions, the right skills and the right knowledge. Tested against real work before any team member uses it.
Week 3 to 5
We deliver the governance pack: acceptable use policy, data classification rules, sensitive data handling, model card documentation, EU AI Act and ICO alignment. We train the team, run the rollout and embed the operating model with each function.
A signed-off governance posture, a trained team and an operating model in active use across functions. The workspace is live, productive and defensible to security, legal and procurement.
Week 5 onwards
We sit alongside the leadership team for the first quarter, refine skills as use cases evolve, extend the operating model and bring in new Anthropic capabilities as they release. This is where the practice compounds.
An AI practice that compounds in value, a team that genuinely owns the workspace and a leadership group that uses Claude as a thinking partner rather than an experiment.
Tell us where your team is with AI today and where you want it to be in a quarter. We will tell you whether a structured setup is the right next move.
Three tiers, sized to where your AI adoption is today.
Workspace Audit (entry tier)
A one to two week diagnostic of your current AI use, your priority use cases and your governance position. You leave with a written setup plan.
Implementation (core tier)
Three to six week setup of the workspace, the priority skills, the project knowledge bases, the governance pack and the team training. Senior Teylu people embedded throughout.
Embedded AI Labs (ongoing tier)
Monthly retainer to extend skills, evolve the operating model and integrate new Anthropic capabilities as they ship.
Pricing is transparent, sized to your team and your use cases. Enterprise grade thinking without enterprise overhead.
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Teylu uses Claude every day for client work that has delivered measurable results: 391% search market share growth across 9 regions and 73% cost per lead reduction for HMS Networks; 411% conversion rate increase for Blake Mill Menswear; 3,000 sales opportunities generated in 90 days. The operating patterns we build into your workspace are the patterns proven on real client work.
If you are about to roll out AI to a team and want to do it properly the first time, this is built for you. Tell us where you are and we will tell you whether a structured setup is the right move for the moment.
Speak to a senior member of the team. We will scope a discovery in the call and give you a clear next step.
How is this different from setting up Claude ourselves?
You can sign up to Claude in five minutes. You cannot configure a properly structured workspace, build the skills your team will use, embed the operating model and document the governance posture in five minutes. We do the second part. The team adopts properly.
Do we need Claude Enterprise or is Claude for Teams enough?
We help you decide. For most mid market UK businesses, Claude for Teams is the right starting point. For regulated, enterprise or very high volume use, Claude Enterprise may earn its place. We assess in the discovery and recommend honestly.
How long until our team uses Claude properly?
Three to six weeks. Week one configures the workspace and the operating model. Weeks two and three build the priority skills and project knowledge. Weeks three to five embed the team and deliver the governance pack.
What about security and data residency?
For API based work we deploy on Claude through AWS Bedrock UK South. For Claude.ai workspaces we configure data retention, model training opt out and sensitive data handling to match your governance posture. Nothing is left to chance.
What if Anthropic ships new capability after we launch?
We track the Anthropic roadmap closely. As new capabilities ship (skills, Agent SDK updates, MCP additions), we evaluate them against your use cases and bring the ones that compound value into your setup. The retainer option is where this work lives.
Have a question we have not answered? Tell us. We will give you a straight answer, not a pitch.
