Operations
Agents in CRM and contact centre
The agent reads the file, drafts the answer and leaves the record updated. The person decides instead of transcribing.
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Claude Partner Network, Registered Partner
Custom solutions built with Claude
BOND LABS is a Registered Partner in Anthropic’s Claude Partner Network. We design, build and run agents on Claude, connected to the deterministic systems where the operation actually happens, such as the CRM, ERP, data platforms, etc.
Registered PartnerThe agreement gives us direct access to Anthropic’s ecosystem, a team trained in the same methodology used to build Claude’s own systems, and a formal route to escalate any technical or security question that comes up in an enterprise rollout.
We completed Anthropic Academy training together: business, data and engineering consultants.
What the Claude Partner Network is
It is the programme through which Anthropic recognises the companies that design, implement and run Claude-based solutions for third parties. It is not a licence reselling agreement or a marketing badge. It recognises verified delivery capability. Within the programme, BOND LABS is listed as a Registered Partner.
Delivery capability, not resale
The recognition rests on delivered projects and proven technical judgement, not on licence volume sold. We do not take a margin for sitting between you and Anthropic.
Access to the ecosystem
Documentation, roadmap and reference practices before they become public knowledge. That translates into architecture decisions you do not have to redo six months later.
A formal escalation route
When a question comes up about security, model limits or data handling in an enterprise rollout, there is a channel to resolve it with Anthropic instead of improvising.
One methodology across the team
Twelve people trained in building on the API, designing agent skills, the Model Context Protocol and working with Claude Code. The project does not hang on one specialist’s calendar.
What we do with Claude
Why we did it
Most AI projects that reach a management committee fail for the same reason. Not the model, but the distance between what the technology can do and what the business needs it to do.
That distance is closed with data architecture, well-mapped processes and governance, not with a better prompt.
Working inside Anthropic’s partner network lets us build that layer with the judgement of the people who designed the model, instead of reverse-engineering public documentation. For an enterprise client in a regulated sector, that difference is what separates a pilot from a system that survives an audit.
Team trained at Anthropic Academy
Training covers the Claude API, agent skills design, the Model Context Protocol and Claude Code in real development. We do not outsource execution: the people you see here are the ones who design and deliver.
David Oliver
Senior AI Solutions Engineer
Anthropic Academy
Cristian Trapiello
AI Engineer
Anthropic Academy
María Perea
Data & AI Engineer
Anthropic Academy
Alejandro Martín Peces-Barba
COO
Anthropic Academy
Pablo Monge
CEO
Anthropic Academy
Alejandro Salinas
MarTech Specialist
Anthropic Academy
Marina Xiuping
Data & AI
Anthropic Academy
Where we apply it
These are the fronts where Claude has given us the best results in real projects. They are examples, not a closed catalogue: the use case is defined by your process, not by our list.
Architecture
MCP as an integration layer
A single tools-and-permissions layer for every agent, instead of one bespoke integration per system.
Documentation
Reasoning over long context
Contracts, tenders, case files and regulation. Claude holds the thread in documents where other models lose it.
Processes
Chained agentic tasks
Multi-step flows with tools, checks and human approval wherever the process demands it.
Engineering
Work on code
Migrations, legacy refactoring and Claude Code-assisted development inside our own team.
Control
Governance and traceability
What the agent did, with which data and why. Logged from the first rollout, not bolted on at the end.
If your use case is not listed here, the starting point is to analyse the business process you want to optimize.
See our servicesHow it fits the rest of our stack
Anthropic sits in the foundation model layer alongside the other providers we work with. We are not a single-model consultancy and we do not sell our clients a dependency that is expensive to undo later.
We choose the model on the use case and on latency, cost and data sovereignty requirements, and we defend that choice on technical grounds in front of whoever needs to hear it.
What we are clear about is where Claude leads: reasoning over long context, chained agentic tasks and work on code. On those three fronts it is our first choice.
Frequently asked questions
What is the Claude Partner Network?
It is the programme through which Anthropic recognises companies that design, implement and run Claude-based solutions for third parties. It recognises verified delivery capability, not licence volume.
What does being a Registered Partner involve?
Direct access to Anthropic’s ecosystem, a team trained in their methodology and a formal route to escalate technical or security questions during an enterprise rollout.
Do you sell us Claude licences?
No. This is not a reselling agreement. Your contract with Anthropic is yours; we charge for designing, building and running the solution.
What is the Model Context Protocol and why does it matter to me?
It is the open standard that lets a model use your company’s tools and data without a bespoke integration per system. It matters because it lowers the cost of adding the next use case and keeps permission control in one place.
Do you only work with Claude?
No. We choose the model based on the use case, latency, cost and data sovereignty requirements. Claude is our first choice for long context, agentic tasks and code.
How do we start?
With a working session on one specific process: what it decides, with which data and where it gets stuck today. That produces the scope of a first phase with measurable success criteria, not a demo.