Avaratak + Claude: We’ve Got a New Partner in Intelligence

We have some pretty exciting news: Avaratak is now a Claude Partner, joining Anthropic’s Claude Partner Network.

And yes, we are resisting every possible “Claude you believe it?” joke.

Mostly.

This partnership marks an important next step for Avaratak. We built this company around a simple idea: complicated technology should be made useful by experienced people who understand how businesses actually work—not just how to install something, and not just how to make a demo look impressive.

Claude fits extremely well with that philosophy.

A new practice, not an add-on

For Avaratak, becoming a Claude Partner does not mean we are suddenly going to recommend putting AI into everything with a power cord.

The coffee maker is safe. For now.

It means we now have another powerful platform around which we can help clients solve genuine business problems.

Claude is not an Atlassian accessory at Avaratak. Our Claude practice stands on its own as a full consulting capability.

Organizations do not need to be Atlassian customers to work with us on Claude, and Claude does not need to be connected to Jira or Confluence to make an engagement worthwhile.

Depending on the problem, that work might include:

• Claude Code for software-development teams
• AI agents that handle repetitive operational workflows
• Internal knowledge experiences that help employees work with organizational information
• MCP integrations connecting Claude to applications, APIs, and data
• AI governance and architecture for organizations moving beyond experimentation
• Readiness assessments to determine where AI actually makes sense before anyone starts building

Start with the problem, not the product

There is a very large gap between “our team has been playing with AI” and “AI is safely, measurably improving how our organization operates.”

We want to help close that gap.

Before building anything, we want to understand the workflow:

• Who performs the work today?
• Where does the information come from?
• What decisions are being made?
• What permissions and security boundaries are involved?
• Where can something go wrong?
• What still requires human judgment?
• What would actually count as an improvement?

Sometimes the answer is a sophisticated Claude implementation. Sometimes it is a smaller pilot. And sometimes the right answer is, “You do not need this yet.”

That may not be the fastest way to sell consulting hours. It is, however, a pretty good way to be the kind of consulting company we want Avaratak to be.

Claude Code for engineering teams

For development organizations, Claude Code can be much more than a tool an individual developer opens on the side.

A thoughtful rollout can include shared repository conventions, permission models, review practices, security controls, reusable instructions, and measurable expectations around development velocity and quality.

We have already seen how useful that becomes when Claude Code participates directly in an agentic development workflow instead of sitting outside the process.

Installing Claude Code is easy.

Creating an environment where fifty engineers can use it consistently without accidentally inventing fifty different ways of working is where things get more interesting.

Agents that participate in the work

For business and operations teams, one of the biggest opportunities is in Claude-powered agents.

People spend enormous amounts of time moving information between systems, reviewing documents, categorizing requests, preparing summaries, checking requirements, and performing the same series of actions over and over again.

Those are exactly the places where an intelligent agent can become useful—but only when the agent’s tools, permissions, stop conditions, evaluation criteria, and human approval points are deliberately designed.

That same operating-model question is already showing up in engineering as teams begin handing real work to AI agents alongside human teammates.

“Give the AI access and see what happens” is not an architecture strategy.

At least not one we are willing to put our name on.

MCP: where Claude gets substantially more useful

The Model Context Protocol (MCP) creates some of the most interesting possibilities for organizations adopting Claude.

MCP provides a structured way to connect Claude with business applications, internal APIs, knowledge systems, and data sources. Instead of asking a model a question and then manually gathering everything it needs, organizations can create governed connections to the systems where their actual work lives.

Done correctly, Claude can work with the right information and tools while respecting the access boundaries the organization already has.

That is when AI starts moving from “interesting assistant” to something that can meaningfully participate in a business process.

And yes, Claude can work with Atlassian

Because Avaratak is also an Atlassian Solution Partner, we are in an interesting position for organizations that want Claude working alongside Jira, Jira Service Management, Confluence, Assets, or other parts of their Atlassian environment.

When bringing Claude and Atlassian together solves the problem, fantastic. We know both worlds.

When Claude belongs somewhere completely different in your architecture, that is fantastic too.

The solution should follow the business problem—not the logo on the slide.

What good AI consulting should look like

We believe AI consulting needs much more clarity around outcomes.

A cool demonstration is not an outcome. Neither is “AI adoption.”

If we automate a workflow, we should be able to answer questions such as:

• How much human effort did the process require before and after?
• How often do errors occur?
• How many exceptions still require review?
• What does the system cost to operate?
• How accurate is it?
• Where does it fail?
• When should a human take over?

If we cannot define what success looks like, we probably are not ready to build it yet.

Senior people, doing the work

The common thread between our Claude and Atlassian practices is how we deliver.

Every Claude engagement is led by an experienced senior consultant with substantial software-development and technology experience. We are not building a giant bench where a senior architect appears during the sales call and mysteriously evaporates once the statement of work is signed.

The people helping design the solution are the people helping deliver it.

We still believe in upfront expectations, clear deliverables, no unnecessary handoffs, and leaving clients with systems they can actually own.

A new chapter for Avaratak

Anthropic is investing in its partner ecosystem with training, technical resources, and support designed to help partners move Claude into production responsibly.

We are excited to be part of that ecosystem—and even more excited about what it allows us to do for our clients.

AI is moving quickly from an interesting tool sitting beside the business to something that can participate directly in the work of the business. That creates enormous opportunity.

It also makes architecture, security, governance, evaluation, and good old-fashioned common sense more important than ever.

Fortunately, we happen to like that stuff.

So this is the beginning of a new chapter for Avaratak.

We are still the same senior-led consulting company. We just have another very capable teammate now.

Its name is Claude.

And unlike most new teammates, it apparently does not need three weeks to get access to all the systems.

Ready to explore where Claude fits?

If your team is evaluating Claude, Claude Code, agents, MCP, or where AI belongs in your operating model, book a 30-minute conversation with Avaratak.

We’ll start with the problem and work forward from there.