You Already Have Claude. Now What?

Your team already has Claude. People use it to draft emails, summarize documents or think through a problem. Some get good results. Others try it once, receive something generic and move on.

The next step is to make a useful way of working repeatable. That takes more than asking everyone to write better prompts. It means deciding which work matters, what context Claude needs and how people will check the result.

Pick one team and one recurring job

Start with the people doing the work. A sales team might spend too much time preparing proposals. A finance team might struggle to reconcile information before sending invoice reminders. A small organization may have the same person doing both.

Ask where work repeats, where information gets lost and what a better process would make possible. Choose something with enough volume to matter and a clear owner. You do not need a formal department structure or a company-wide rollout to begin.

Write down the start and finish: an approved meeting transcript becomes a reviewed follow-up and proposed CRM update, for example. That is easier to test than a general goal to “use more AI.”

Give the workflow context and a method

Claude’s features serve different purposes. Use the ones that fit the job rather than trying to use everything at once.

• Projects organize context. Keep related work, reference material and project instructions together so each conversation does not start from a blank page. See Anthropic’s Projects overview.
• Skills package a method. Reusable instructions and supporting resources help Claude follow a specific process, such as drafting a proposal in your format or checking a report against agreed criteria. See Anthropic’s Skills overview.
• Connectors link tools and information. Where supported and authorized, they let a workflow use information or actions in connected systems. Choose the access needed for the job and confirm what each connection can do.
• Automations coordinate recurring work. A designed workflow can connect a trigger, preparation steps, review and an approved action. The implementation depends on your tools, permissions and operating requirements.

For a first pilot, manually providing an approved input may be enough. A connector or scheduled process becomes useful when it removes a real bottleneck. It should not be a prerequisite for learning whether the underlying method works.

Make “good” specific

For a proposal, good might mean approved service language, accurate customer details, explicit assumptions and no unsupported promises. For a report, it could mean reconciled totals, consistent definitions and commentary that links back to source information.

Show examples of acceptable work and common mistakes. Define what Claude should do when information is missing. A useful workflow flags a gap instead of filling it with an invented fact.

Keep a person responsible for commitments and consequential actions. A draft message and an approved send are separate steps. The same is true of suggested CRM changes, invoice decisions and published material.

Test the whole process, not just the first draft

Use a representative set of real tasks that your organization is allowed to process, including messy inputs and exceptions. Measure preparation, review, corrections and handoff time. Compare output quality with the current approach.

A workflow that produces a draft quickly but creates ten minutes of cleanup may still help. You need the total before-and-after picture to know. Ask the people using it whether it fits their day and whether they trust the result enough to keep using it.

Set a small launch scope, train the team and document who handles failures. Track whether the workflow is actually used. A technically successful build that sits unused does not create the forecast benefit.

Measure value beyond usage

Usage tells you whether people are trying the workflow. It does not establish ROI. Measure time freed, costs actually avoided, throughput or incremental contribution, and keep those categories distinct.

Include the build, monthly management, software subscriptions, API usage and required internal time in the cost model. Do not count capacity and the revenue contribution created by that same capacity twice. Our AI workflow ROI guide shows how to build the estimate.

Assign ongoing ownership

Your templates, systems and processes will change. Someone needs to keep instructions current, respond when connections fail, support employees and check whether the workflow still solves the right problem.

Managed Claude starts at $1,500/month. We maintain TEG-built workflows, support and train employees, review value and assess further opportunities. Assessments of additional teams are included; new builds are separately scoped and priced. Software and API charges are separate.

If you already have Claude but are unsure where to go next, start with one team, such as sales or finance. Book a free AI Value Assessment. We will help identify the work worth improving and the assumptions worth testing before you invest in a build.

Frequently asked questions

Do we need a formal department to start?

No. Start with one team or a small group responsible for a recurring process. Sales and finance are examples, not requirements.

Do we need a custom integration immediately?

Not necessarily. A pilot using approved inputs and reusable instructions may be enough to test value. Add connected tools or automation when the process and economics justify them.

What should we measure after launch?

Measure adoption, total handling time, quality, exceptions and the business outcome. Distinguish capacity from cash savings and include implementation, management, software, API and required internal costs.