Tricentis AI Workspace
The control plane for your agentic quality team
AI Workspace is where teams build, orchestrate, and govern quality agents for the agentic SDLC. Every agent runs with shared context, each decision includes a human in the loop, and every action is logged for audit by default.
The agent problem no one warned you about
Scaling agentic quality fails without governance and orchestration
When software quality teams deploy disconnected agentic AI workflows, they create fragmented prompts and agents. This isolated approach creates agent sprawl, strips away visibility, and duplicates testing effort.
Isolated agents with no context
Testing runs on disconnected AI models without shared context from your delivery pipeline.
More tests, less confidence
Some tests ran and code shipped but no one has confidence in the quality of the release.
Coordination is a bottleneck
Your team spends more time fixing agentic workflows than focusing on quality engineering.
Introducing Tricentis AI Workspace
One workspace. A full team of quality agents.
Tricentis AI Workspace unites autonomous agents across your entire SDLC. Every agent connects to the same central context, adheres to your governance policies, and accelerates delivery from requirements to performance validation.
Centralize your quality agents
One workspace for every quality agent your team runs
Define, configure, and monitor every quality agent from a single workspace. Tricentis native agents for test creation, automation, quality intelligence, and performance run alongside any custom agents your team builds. One place to see what’s running, who owns it, and what shipped.
- See every agent’s status with health, owner, last run, and next trigger in a single view.
- Unify shared context so every agent inherits requirements, code history, and prior runs without the silos.
- Stop switching tools and direct outcomes from one place instead of jumping between five tabs.
Orchestrate quality across the SDLC
Quality runs continuously, not at the end of the sprint
Chain test creation, automation, performance validation, and quality intelligence into one continuous workflow. Trigger workflows based on an incoming Jira ticket, a pull request, or a code merge so quality decisions happen as delivery happens.
- Trigger on real delivery events as tickets move, PRs open, and merges land.
- Chain multi-agent workflows so test creation flows into automation, then into performance, then into risk.
- Keep humans in the loop with approval gates configurable between any two steps.
Govern AI quality with real oversight
Calibrate human-in-the-loop checkpoints
Strict audit-ready review for regulated workloads, lightweight checkpoints for digital teams. Approval gates and full audit logs are built into every workflow, so AI quality decisions stay explainable and defensible to the auditor, the CIO, or anyone who asks.
- Apply strict, standard, or light risk controls to individual quality agents based on your compliance needs.
- Capture decision rationale so every step shows what ran, why, and what it produced.
- Log every action to give regulated industries the audit trail they need from day one.
Build custom quality agents
Spin up org-specific agents in plain language
Use the Agent Assistant to create new agents without code or AI expertise. Describe a requirements quality checker, a compliance pre-flight, or a release-readiness summarizer in plain language, and put it to work alongside your native Tricentis agents the same day.
- Build agents in plain English with no coding required and no platform team queue to wait on.
- Inherit shared context automatically so custom agents see exactly what the native Tricentis agents see.
- Deploy in hours, not quarters by going from idea to running workflow inside the same day.
Plug into the tools you already run
Connects to everything your team already runs
Native integrations, open APIs, and MCP connect Jira, Azure DevOps, GitHub, and the rest of your delivery stack. Workflows fire automatically when a ticket moves, a PR merges, or a requirement updates, with no manual handoffs to slow things down.
- Connect through native integrations with Jira, Azure DevOps, GitHub, ServiceNow, and the rest of your stack.
- Extend with open APIs and MCP so you can bring your own LLM or build your own connector.
- Run event-driven, not polling so workflows react in real time instead of waiting on a schedule.
Standardize with reusable templates
Capture a working workflow once, share it across the org
Save a proven quality workflow as a template and share it across teams. New teams start from a tested blueprint instead of a blank canvas, and quality scales without retraining or rework.
- Template any workflow and apply it to SAP regression, Salesforce smoke, PR risk triage, or a requirements quality gate.
- Eliminate prompt variability so every team works from the same blueprint and produces the same outcomes.
- Onboard new squads in hours by handing them a proven blueprint instead of weeks of tribal-knowledge transfer.
Wolters Kluwer drives consistent software quality at scale with agentic AI
See how Wolters Kluwer leveraged Tricentis qTest and Agentic Test Creation to achieve 100% automation at the UI and API levels for its core platform applications.
Key outcomes:
- 1800+ applications under test
- 30% faster test case design with Agentic Test Creation
- 100% automation for UI and API test cases on core platform applications
Built for the way enterprises actually ship
Six things every quality team needs from AI, and rarely gets from anything else.
Single pane of glass for every quality agent
Define, run, and monitor every Tricentis and custom quality agent from one workspace so you never juggle tools to know what shipped clean.
Multi-step workflow orchestration
Chain requirement analysis, test generation, automation, performance, and risk into one continuous pipeline that fires on real delivery events.
Human-in-the-loop by design
Approval gates, configurable risk tiers, and decision rationale on every step keep AI quality inside your governance perimeter.
Audit every AI quality decision
Every agent run is logged with inputs, outputs, and rationale so regulated industries get the traceability they need without slowing teams down.
Custom agents without code
Build org-specific quality agents in natural language with the Agent Assistant, from requirements checkers to compliance gates and anything else your team needs.
Reusable workflow templates
Share a working quality workflow across teams as a template to onboard new squads in hours and keep outcomes consistent everywhere.
Featured resources
Go deeper on agentic quality engineering
How to embed quality across the agentic SDLC
What testing leaders need to rethink in the agentic era
How to operationalize AI-powered testing
Put a coordinated quality team behind every change
AI Workspace gives quality leaders one place to orchestrate, govern, and scale a team of quality agents. Ship faster, keep governance intact, and spend time on quality, not connecting tools.