The pilot worked. Now the Claude agent has to live inside Microsoft Teams, read from Azure AI Search, respect permissions and survive a security review. Most shortlists fall apart here. Strategy decks are everywhere, while engineers who have shipped MCP servers, evaluations and a model migration from Azure OpenAI are rare. Searching for Claude AI development partners turns up consultancies, resellers and integrators with very different depth. I judged each firm on four things: Claude delivery evidence, Microsoft-stack fluency, security practices and engagement model.
What I Looked For
I started from firms I had tracked over the past couple of years and cut the list down to seven. I read published case studies, service pages and public project write-ups. If a firm described Claude work only in generic “AI transformation” language, I moved on.
I also went through customer feedback on Clutch to see how clients rate these teams first-hand. I ignored any partner directory or official partners list as a ranking device. Directories show who signed up, not who shipped. Claude implementation partners and consulting partners earned points for named projects, visible engineering depth and clear engagement terms.
Certifications mattered where they belong to engineers who work on the build. Security posture counted too. I could not verify every claim, so this is an assessment of public information, not a test of delivery.
1. Leobit
Leobit has built software since 2014, with US headquarters in Austin and delivery centers in Lviv, Kraków, Tallinn and London. It is a Certified Services Partner in the Claude Partner Network and a Microsoft Solutions Partner for Digital & App Innovation and Data & AI. 25+ Claude-certified engineers work in the same team as Azure AI, .NET and DevOps engineers, backed by 78 Microsoft-certified engineers and ISO 27001:2022 security certification.
Among anthropic partner software engineering firms, Leobit suits teams that want one group to own prompts, MCP tools, evaluations, the application and the Azure infrastructure. Published Claude work includes an AI sales assistant on Claude Sonnet for Tipco and an AI-native development process built around Claude Code for essencedesign. On Clutch, Leobit holds 5/5 across 60 reviews.
Pricing is mid-range and hourly.
For ACT Bermuda, Leobit built a Claude-powered first-line support agent in Microsoft Teams, validated the proof of concept in four weeks, moved it from Azure OpenAI to Claude and cut the support team’s workload by 3x.
Best suited for: CTOs on Microsoft 365 and Azure who want a certified partner to build and run Claude agents in production.
2. Thoughtworks
The case for Thoughtworks is engineering craft at scale. It is a global technology consultancy known for publishing the Technology Radar, its opinionated guide to tools and techniques. That habit of writing down what works carries into how it runs delivery.
Expect strong practice in evolutionary architecture, continuous delivery and responsible AI governance. For a Claude agent that has to fit a large, regulated estate, that discipline is useful.
Pricing sits at the premium end and is quote-based.
Engagements are sized for large programs, so smaller product teams may feel the trade-off in team shape and cost.
Best suited for: enterprises modernizing core platforms where a Claude agent is one part of a larger architecture program.
3. Accedia
Accedia runs Microsoft-stack engineering: .NET, Azure and Microsoft 365 development, delivered through dedicated teams and team extension. That makes it a natural place to look when the Claude agent must plug into existing Azure services and Teams.
The model is straightforward. You add engineers who already know the Microsoft toolchain, and they work inside your processes.
Pricing is mid-market and hourly.
Published Claude-specific case studies are limited, so ask to see evaluation practice and MCP work before committing.
Best suited for: Microsoft-centric product teams adding Claude features through an extended engineering team.
4. Slalom
Slalom is a consulting-led firm with a sizable Microsoft and cloud practice, working across strategy, data and engineering. Its pitch is business-outcome programs that connect AI work to change management and analytics.
For companies where the Teams agent is part of a wider operating-model change, that breadth helps. Clutch lists Slalom at 2/5 from a single review, which is too thin to draw conclusions from.
Pricing is top-of-market and quote-on-request.
Claude-specific delivery evidence is not published in detail, so request named references.
Best suited for: large organizations pairing Claude adoption with data, cloud and change-management work.
5. Caylent
Caylent is an AWS-focused cloud engineering consultancy. Its work spans cloud migration, data platforms and generative AI delivery on AWS services, including Amazon Bedrock, where Claude models are available.
If your estate already runs on AWS and you want Claude through Bedrock, the fit is natural. The team brings infrastructure depth that pure AI shops lack.
Pricing is premium and quote-based.
Claude work centers on Bedrock, so Microsoft 365 and Teams integrations are not where its practice is strongest.
Best suited for: AWS-native companies deploying Claude through Bedrock inside existing cloud infrastructure.
6. Tribe AI
Tribe AI is an applied AI consultancy that assembles vetted machine learning practitioners around a client’s problem. The work runs from use case definition through prototypes to deployed systems.
The appeal is access to experienced AI specialists without building a bench. Teams with a sharp question and a clear deliverable get the most from it.
Pricing is premium and per-project.
Engagements are scoped to defined projects, so it is a weaker match for companies wanting a long-running dedicated team.
Best suited for: product leaders with a defined AI use case who need senior specialists for one build.
7. Zartis
Zartis supplies software engineering teams on a dedicated and extended-team basis, with services covering product engineering, cloud and AI development. It works as a delivery partner that plugs into your roadmap.
That structure suits companies that already know what they want built and need capable engineers to build it. AI work sits within a broader engineering offering.
Pricing is mid-range and hourly.
Claude-specific case studies are less visible publicly, so ask for references on agent builds.
Best suited for: scale-ups that need an embedded engineering team to extend an AI roadmap.
Picking the Right Partner
Match the partner to the stack you already run and the shape of the work.
- **If you run on Microsoft 365 and Azure:** Accedia fits when you want extra .NET and Azure engineers inside your own team. Slalom fits when the agent comes with data and change-management work. Leobit fits when one team should own the Claude model layer, the application and the Azure infrastructure.
- **If your cloud is AWS:** weigh Caylent, whose Claude work runs through Bedrock.
- **If the job is one defined build:** weigh Tribe AI for scoped specialist work, or Zartis for an embedded team.
- **If Claude is one piece of a platform overhaul:** weigh Thoughtworks.
Whichever route you take, ask for a named Claude project, the evaluation method behind it and the permission model for each connected system. A firm that answers those three in specifics has done the work.
The right pick is the one whose evidence matches your stack and your deadline. Everything else is presentation.
Frequently Asked Questions
What do anthropic partner software engineering firms actually build?
They build Claude-based agents and assistants into real systems: support agents in Microsoft Teams, assistants that answer from company documents, sales tools and Claude Code workflows. The work covers prompts, tool connections such as MCP, evaluations, application code and cloud deployment, not only strategy.
How do I choose among anthropic partner software engineering firms?
Check for named Claude case studies, engineers holding Claude certifications, security certification such as ISO 27001 and experience with your stack. Ask how changes are tested, how evaluations run and how permissions are scoped. A firm should answer with specifics, not slides.
How much do anthropic partner software engineering firms cost?
Pricing depends on the model. Some firms bill hourly, others per project or by quote. Premium consultancies tend to quote custom, while mid-market firms often work hourly. Scope drives cost most, so request an estimate after a short assessment of your use case.
How long does a Claude proof of concept take?
A focused proof of concept on your own data can be validated in weeks. One Claude support agent in Microsoft Teams was validated in four weeks. Production builds take longer, because integrations, security review, evaluations and rollout each add time.
Can an existing assistant be moved from Azure OpenAI to Claude?
Yes. It typically means reworking prompts, tool definitions and evaluation sets, then testing the new model against the old one on real tasks. Teams with Azure experience can keep infrastructure in place, using the Anthropic API or Microsoft Foundry.
Is outsourcing AI software development to an Anthropic partner worth it for mid-size companies?
Often, yes. Mid-size companies rarely have engineers who have already shipped MCP servers and evaluation pipelines. A certified partner brings that experience, while your team keeps ownership of the product. Check that the partner’s team size fits a dedicated-team engagement.
What should I look for in anthropic partner software engineering firms on security?
Look for certified information security, such as ISO 27001:2022, and scoped permissions on every connected system. Ask whether agents get least-privilege access to Microsoft 365, Teams and ERP data. Also ask how every change is reviewed before it reaches production.
