Purpose-built for agentic AI
Designed from the ground up for non-deterministic AI agent behavior, not retrofitted from traditional test automation.
Inflectra • Test automation
SureWire is Inflectra's AI QA platform purpose-built to test, assess, and govern agentic AI before and after it ships.
SureWire pilots with Merito start with scoping and assessments designed around your own AI agents, then connect to your agent infrastructure and governance reporting, with evaluation support as the category matures.
What it is
SureWire is Inflectra's AI Quality Assurance platform for agentic AI. It is built for the realities of non-deterministic systems: AI agents do not behave identically across runs, and traditional pass/fail testing does not capture whether an agent is safe, reliable, or effective at the task it was deployed to do.
The product dynamically designs and executes assessments tailored to each AI application. SureWire functions like an experienced test manager: it uncovers risks, evaluates behavior under real-world conditions, and generates the evidence needed for enterprise governance and auditable AI trust.
SureWire is new. The agentic AI QA category is still stabilizing. Merito positions it as an early-adopter choice with clear success criteria, not as a proven enterprise standard. Customers running AI agents in production today are the natural fit.
Pilots start narrow, with one or a few agents, a named AI owner and a clear risk hypothesis, and expand based on what the first assessments reveal.
Ideal use cases
What it is best at
Designed from the ground up for non-deterministic AI agent behavior, not retrofitted from traditional test automation.
Tailors assessments to each AI application rather than forcing a one-size-fits-all evaluation template.
Generates the audit-grade evidence needed for enterprise governance and regulated-industry AI programs.
Validates safety before deployment and monitors reliability after. Single platform for both.
Core capabilities
Dynamic assessment design for agentic AI.
Dynamic assessment authoring
Assessments tailored to each AI application's behavior model and risk surface.
Multi-scenario evaluation
Runs the agent against diverse real-world scenarios rather than a single golden path.
Risk uncovering
Surfaces risks that do not appear in deterministic pass/fail testing.
Three lenses for agentic AI quality.
Safety validation
Identifies unsafe behaviors, prompt injection surface area, and out-of-scope responses.
Reliability evaluation
Measures consistency of agent behavior across similar inputs and over time.
Effectiveness measurement
Evaluates whether the agent actually accomplishes the task it was deployed to do.
Audit-grade evidence for enterprise AI governance.
Evaluation records
Structured records of every assessment run with inputs, outputs, and analysis.
Risk registers
Identified risks tracked with owner, mitigation status, and re-evaluation schedule.
Governance reporting
Reports suitable for enterprise AI governance and regulated-industry compliance.
Where it fits in the stack
Integration with the Spira ALM hub for evidence and tracking.
Supported AI agent platforms and LLM providers. Early-category coverage; expanding.
Common integrations customers wire during pilot.
Deployment and implementation
Licensing and packaging
SureWire Pilot
Single-agent or small-multi-agent pilot for proof of value.
Best for: Enterprises evaluating agentic AI QA for the first time.
SureWire Enterprise
Multi-agent, multi-team deployment with governance features and Spira integration.
Best for: Enterprises scaling AI agent QA across multiple production deployments.
Merito services
Pick the engagement that matches where you are in the lifecycle.
Pilot scoping, assessment design for the customer's AI agents, integration with agent infrastructure.
Explore serviceRole-based SureWire training for AI leads, QA, and governance sponsors.
Explore serviceMerito-placed engineers experienced with agentic AI QA and governance.
Explore serviceNamed engineer, priority SLAs, and release-time coverage for your SureWire pilot or rollout.
Explore serviceSureWire licensing
Start with one agent in pilot or production, a named owner and a risk hypothesis. SureWire is an early-adopter category, so the pilot runs against clear success criteria.
Merito point of view
Merito's position: SureWire fills a real gap. Agentic AI quality is not captured by deterministic pass/fail testing, and enterprises running AI agents in production need governance evidence that traditional QA does not produce. SureWire is one of the first purpose-built tools in the category.
The agentic AI QA category is still stabilizing. Pricing models, assessment frameworks, and governance standards are all evolving. Treat SureWire as an early-adopter deployment with specific risks to uncover and specific evidence to produce.
The natural customer for SureWire is an enterprise with at least one AI agent in production (or pilot), a named AI owner, a governance sponsor, and a clear risk hypothesis. Without those elements, the pilot will not produce results worth the license.
For customers still scoping their agentic AI strategy, Merito recommends delaying SureWire until there is a specific agent to evaluate. Buying the license ahead of a clear use case is a common trap in this category.
What buyers usually underestimate
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Frequently Asked Questions
Consultation request
Share your AI agent scope, governance goals, and current QA posture. A Merito SureWire specialist follows up within one business day.
Early-adopter category
Merito pilots SureWire narrowly, with specific risks to uncover and specific evidence to produce. Expansion follows pilot results.
Governance-first
SureWire's output is suitable for enterprise AI governance and regulated-industry compliance. Merito wires it into Jira, ServiceNow, or Spira.
Next step
A Merito SureWire conversation starts with the agents in scope, the governance goals, and the risk hypothesis we will validate in the pilot.