Take agents from experimentation to infrastructure.
For organizations leaving proofs of concept behind and starting to put agents into production.
Pilots prove value. Production demands infrastructure.
The first agents usually reach production through individual effort. The tenth exposes everything the organization never had to decide before. Ownership, versions, access, cost and accountability all become open questions at once.
Almost every large company has started its own harness: the layer that wraps the model with tools, memory, flow and integration.
Tessera turns that transition into infrastructure, not improvisation.
From pilot to production, from production to scale.
From pilot to production
Identity
Identities, permissions and segregation of duties are still assembled case by case.
Cost
Model, runtime and tool costs are scattered across teams.
Decision trail
The agent's decision trail rarely holds up in an audit.
From production to scale
Frameworks
Different frameworks create operational islands and little reuse.
Lifecycle
Without a catalog or versioning, governing the lifecycle is hard.
Return
Return stays disconnected from technical telemetry.
What shows up in the demo is the agent. What production demands is everything else.
In a renegotiation agent, credit policy is essential. Idempotent retries, checkpoints, tenant isolation and token budgets are accidental: they do not set the company apart, but they eat most of the engineering.
- Recovery after failure
- Idempotency
- Backpressure
- Multi-day conversations
- Context window
- Memory with provenance
- Rules outside the prompt
- Legacy integration
- Per-tenant isolation
- Credentials and secrets
- Guardrails and PII
- Human approval
- Audit trail
- Cost and budget
- Deploy and rollback
- Continuous evaluation
- Replay for investigation
- Right to be forgotten
- Real-time voice
- Scale to millions
A path that doesn't start over every quarter.
Inventory
Know which agents exist, who owns them and where they're running.
Standardize
Give every team a common operating model instead of parallel stacks.
Govern
Enforce organizational policies before agents reach production.
Scale
Expand adoption without redesigning the operating model at every step.