Making Sense, a technology consulting firm that has spent more than two decades building software for mid-market and private equity-backed companies in the United States, has been named a Select partner in the Services Track of Anthropic’s Claude Partner Network.
The designation is based on product deployments, not pilots or announced partnerships.
Anthropic introduced the Services Track in June as a tiered layer on top of the Claude Partner Network, which it launched in March with a $100 million commitment to partner training, technical support and shared marketing.
The track ranks firms by what they have built and delivered with Claude, and Select is the entry tier. Under Anthropic’s published requirements, a firm needs at least 10 practitioners with current Anthropic certifications, two or more customers taken live with Claude in the trailing 12 months, and at least one public consumer story.
Making Sense says it has 20 certified professionals, all of whom earned their credentials through exams at the Anthropic Partner Academy.
Fernando Florez, chief revenue officer at Making Sense, said the recognition gives prospective clients something they can check for themselves. “Anthropic reviews each partner’s standing every quarter, based on its certified professionals and the customers it has taken live with Claude,” he said.
“That gives clients a public, verifiable reference for what we’ve delivered, which makes choosing who to work with less of a leap of faith.”
The firm now appears in the public directory of the Claude Partner Hub, to which more than 40,000 firms have already applied. Companies can use it to compare implementation partners by tier, certified team size, customer deployments, and public reference.
An AI assistant running across 4,800 accounts
Making Sense’s published customer story involves Doppler, an email, automation and data marketing company that serves clients across Latin America and Spain. For Doppler, Making Sense designed and built ECO IA, an assistant embedded directly in the platform, which reads live account data, diagnoses the health of a user’s account, and drafts campaigns that users review and edit before anything goes out.
The assistant runs on Claude Sonnet 4.5, and launched within three months of the project’s kickoff—and is switched on by default for every new Doppler account.
According to Making Sense, ECO IA is now available in more than 4,800 accounts, and 95% of the users who engaged with it returned across multiple months.
The company’s engineers also prioritized keeping the AI product affordable by implementing prompt caching, a Claude API feature that lets developers reuse frequently sent context between calls instead of paying to process it from scratch every time.
Making Sense reports a sustained cache hit rate of 97%, which it says holds inference costs at $0.066 per interaction.
The team also built a dashboard that tracks usage, costs, latency and errors in real time, so Doppler can see how the assistant behaves as adoption grows.
Building for the morning after launch
An MIT NANDA study published last year found that 95% of corporate generative AI pilots had produced little to no measurable impact on profit and loss. The report’s author, Aditya Challapally, told Computing in August 2025 that enterprise AI requires careful integration into existing systems and that pilots rarely scale without it.
“Claude has made building software dramatically faster. Knowing what a change will touch inside a company still takes people who understand that business: the system billing depends on, the data a regulator will ask about, the team that has to operate it the next morning,” said Cesar D’Onofrio, CEO and cofounder of Making Sense.
“We’ve been doing that work for more than 20 years. We decide with our clients what is worth building, connect it to everything their operation runs on, keep it compliant and reliable, and answer for it once it’s live.”
In many engagements, Making Sense embeds its engineers inside the client’s own team so the capability remains in-house once the contract ends. At Doppler, the scope extended to AI adoption practices such as automated testing and adjustments to development workflows.
The company says this left Doppler with a team equipped to keep testing, validating and integrating Claude on its own.
The firm took a similar approach with Viallion, an AI-powered trading automation platform, where it redesigned key parts of the engineering workflow around Claude Code. According to Making Sense, initiatives that previously took two to three months to develop, validate and release now ship in about a week, and new ideas are validated four times faster.
Viallion’s team has continued using and refining the workflow independently since the enablement phase ended.
Making sense focuses on agentic AI solutions and workflow automation, with much of its work in heavily regulated sectors like healthcare, fintech and logistics. Alongside its Anthropic certifications, the team holds credentials on other AI platforms, including OpenAI.
Featured image: Courtesy of Making Sense
Disclosure: This article mentions a client of an Espacio portfolio company.
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