The team that gets Tessera running inside your company.

Our specialists work inside your environment: they scope the use case, integrate with your systems, put the agents live and support operations in production. Side by side with your team.

One team, five specialties and a single goal: your operation in production.

Every Tessera implementation is led by a team of specialists who work side by side with yours, from the first workflow to operations at scale. The industry norm is to hand over the platform and leave implementation to the customer; the familiar result is a signed license and a first agent that never reaches production. Here, the team stays until the operation is up and running.

What each specialist delivers in your implementation.

Five roles, each with what it delivers during the engagement.

AI Deployment Lead

Leads the engagement end to end. Implementation plan and milestones, alignment between the customer and the squad, risk management through go-live.

AI Engineer

Builds, evaluates and tunes agents in iterations with real data. Agents, prompts and tools, quality evaluation and tuning, continuous iteration in production.

Platform Engineer

Secures the foundation for execution, integration and performance. Cloud, BYOC or on-prem deployment, connectors and infrastructure, observability and cost.

Domain Specialist

Brings knowledge of the industry and the customer's operations. Workflow mapping, business rules, validation with the operations team.

Data Specialist

Owns the data and context that feed the agents. Sources, quality and context, pipelines and RAG, privacy and data governance.

How we work.

From mapping your operations to support after the agents go live, in three stages.

Readiness Assessment

2 weeks mapping your operations, systems, risks and compliance.

Design & Development

4 to 6 weeks building and testing the agents to production-ready quality.

Deployment & SRE

1 week of deployment followed by 90 days of 24/7 support and optimization.

Let's map your operations and put agents into production.

Govern what you've already built.

Connect agents from different frameworks to a common layer for operations and governance.