Focus20 Labs helps organizations train teams, discover high-value AI workflows, and implement Claude-powered systems in production. Training is where we start, not where we stop.
Who this is for
Claude adoption stalls in the gap between a licence purchase and a changed workflow. These are the roles that usually have to close it.
The business problem
The common pattern in organizations that have already bought Claude: enthusiastic individual usage, no shared standard, no visibility into where it helps, and no path from a good demo to something that runs unattended in production.
The practice
Each has its own page, its own scope and its own outcome. You can stop after any of them.
Role-based enablement for mixed business and engineering teams, built around the workflows your people actually run.
Advanced enablement for engineering organizations — agentic development, skills, MCP, subagents, hooks and the standards that hold them together.
Workflow observation, opportunity discovery, prioritization and governance — the work that turns capable teams into a ranked build queue.
Prototype, evaluate and ship the prioritized workflows into production against your own systems — then hand them over.
Delivery model
Delivery runs from India and Germany across global time zones. Format follows the audience — an executive briefing and a developer bootcamp are not the same event.
Scoping call
Roles, maturity, systems, constraints.
Curriculum design
Built against your workflows, not a stock syllabus.
Delivery
On-site or remote, cohort by role.
Observation window
We watch what changes once people are back at work.
Build and handover
Workflows in production with a runbook.
Expected outcomes
Deliverables, not promises. We do not guarantee productivity numbers, and we would be suspicious of anyone who does.
Teams that know what to use Claude for, and what not to.
Workflows running in production that your own team can maintain.
Before and after
The same question at the organizational level: what is different once a Focus20 engagement has run, and how would you check? Including the three an executive is asked about first — cost, data, and evidence.
Leadership
Adoption is reported as licence counts and anecdotes about enthusiasm.
Adoption is reported as workflows changed, with the measurement agreed up front.
Teams
Individual experimentation — uneven, undocumented, and lost when someone leaves.
Role playbooks and a shared standard that new people inherit on arrival.
Engineering
Claude Code used privately, per engineer, with no shared conventions.
One AI-native engineering workflow committed to the repository.
Risk and security
No agreed line on what may be sent to a model, decided case by case.
A written safe-use standard your own security team signed off before delivery.
The business
Pilots that impress in a demo and never reach production.
Workflows running in production with guardrails, observability and a runbook.
Token economics
AI spend is a single invoice with no attribution. It cannot be defended in a budget review or compared against the workflow it supports.
Spend attributed per workflow, so each one carries unit economics you can put in a business case — or use to kill it.
Data handling
AI data policy is inferred from existing policy and interpreted differently by each team that reads it.
An explicit position on what may be sent, retained and logged, signed off by your security team before any delivery begins.
Measurement
No baseline exists, so any change is arguable after the fact and every review turns into a debate about attribution.
A baseline captured before delivery on the workflows you nominated, re-measured after. The method is agreed with you, not chosen by us.
Before you ask
No, but most organizations should. Discovery is far more accurate once people have actually used Claude on their own work for a few weeks — before that, you are ranking workflows based on what teams imagine the tool can do. If your teams are already fluent, you can start at adoption consulting instead.
An engineering consultancy that treats training as the entry point. The same people who run the workshops go on to scope and build the workflows, which is why the curriculum targets your systems rather than a generic syllabus.
Focus20 Labs is an official member of the Claude Partner Network, and our Claude Code partner badge is verifiable on Credly. That is the extent of the claim — we are not reselling on Anthropic's behalf and we do not speak for them.
Yes. Data handling, deployment model and what may be sent to a model are decided with your security team before delivery, and the safe-use standard we write is the one your organization signs off on. Enterprise architecture and integration work is a service in its own right if the foundations need attention first.
India and Germany are our delivery bases, and we work with distributed teams across global time zones. On-site and remote formats are both normal; large programmes are usually a mix.
Start here
Nine questions about your teams, your maturity and what you are trying to change. We come back with an agenda and an honest view of which stage fits.