Correctness changes with context
The right behavior depends on tenant configuration, role and permission, customer objective and maturity, data, integration, and contract boundaries. Generic scoring misses those interactions.
Solutions · Enterprise SaaS
Enterprise software agents that understand the customer context
Keep product truth, account context, implementation practice, and support judgment attached to AI behavior.
Enterprise SaaS behavior changes by product configuration, permissions, data, contract, and customer maturity. Teammately helps teams test those differences before agents act on them.
The domain reality
Generic quality is not enough for consequential enterprise saas behavior.
The standard lives across specialist teams
Product and architecture, Support operations, Implementation practice, Customer success each hold part of the judgment the system needs to behave well.
Real work is full of exceptions
A benchmark must represent edge cases, uncertainty, conflicting goals, and escalation—not only the most common enterprise saas path.
Priority workflows
Start where expert judgment materially changes the answer.
Product copilots
Test recommendations and actions across configurations, permissions, and workflows.
Support agents
Benchmark diagnosis, evidence gathering, resolution, and escalation.
Implementation assistants
Evaluate guidance against architecture, dependencies, and customer requirements.
Success copilots
Keep recommendations grounded in adoption context, outcomes, and commercial boundaries.
Correctness blueprint
Connect specialist judgment to the benchmark and the build.
Your experts define
- Product and architecture
- Support operations
- Implementation practice
- Customer success
The benchmark covers
- Tenant configuration
- Role and permission
- Customer objective and maturity
- Data, integration, and contract boundaries
Your AI team receives
- A deliberate coverage map
- Explicit policies and binary rubrics
- Targeted cases, variants, and exceptions
- Inspectable evaluation and improvement evidence
One connected workflow
Five product capabilities, applied to one domain standard.
Coverage Engineering
Design the combinations of tenant configuration, role and permission, customer objective and maturity, data, integration, and contract boundaries the benchmark must represent.
Correctness Elicitation
Turn judgment from product and architecture, support operations, implementation practice, customer success into policies, applicability conditions, and binary rubrics.
Weave
Create targeted enterprise saas cases, variants, artifacts, and worlds from the coverage plan.
Trialground
Run candidate models and agents in controlled environments and preserve the behavior-level evidence.
Coevolve
Explore parallel improvement directions and return newly discovered gaps to the right specialists.
What good looks like
A development team that can improve behavior without losing domain intent.
Coverage you can defend
Know which enterprise saas conditions, exceptions, and risks the benchmark represents—and which it does not.
Judgment that scales
Reuse every specialist decision across policies, rubrics, evaluation, and future cases.
Evidence for every iteration
Compare model, prompt, harness, and agent changes against the same domain-grounded standard.
A controlled learning loop
Route unresolved questions and newly discovered gaps back to accountable experts.
Teammately helps evaluate enterprise agents; tenant permissions, authoritative product state, and accountable approvals must remain enforced by the platform.
Build a benchmark around how your enterprise saas experts actually judge quality.
Start with a consequential workflow and the specialists already accountable for it. Teammately turns their judgment into reusable development infrastructure.