01
Dashboard
A single view across every story, epic, and knowledge source currently in motion.
Agentic AI
For Business Analysts
v1.0 - Live
Azure - SOC-2
Requirements,
engineered.
An agentic copilot that compresses requirements engineering from weeks to hours - without taking the analyst out of the loop.
Scroll01 - The friction
Requirements should not take weeks.
Business analysts spend most of their time on repetitive tasks. Writing user stories, researching, finding documents, and checking consistency. The craft is buried under heavy leg work.
UltraSpec takes the repetitive mechanics out of requirement engineering - research, structuring, writing, cross-checking, and versioning - so analysts can focus on the decisions that need a human.
02 - Product motion
Watch UltraSpec move from context to specification.
See how agentic requirement engineering feels in practice.
03 - In production
A global insurer ships requirements twice as fast.
50%
Time saved on drafting
Oct 2025
In production since
SOC-2
Attested infrastructure
"We stopped arguing about whether AI could draft real requirements. UltraSpec does it - and our analysts spend their day on the parts that actually need a human."
04 - The workflow
Six surfaces. One agent. Zero context-switching.
UltraSpec Agent
Context in. Specifications out. Every step remains traceable.
02
Epic editor
Compose epics with structured metadata and one-click export to Jira or Confluence.
03
Story editor
Agent-drafted user stories aligned to the parent epic, with inline self-checks.
04
Chat
Ask the agent anything about the product, regulation, or prior decisions - cited to source.
05
Suggestions
Review, compare, and apply agent-generated refinements to acceptance criteria.
06
Knowledge base
Visualise source coverage and curation gaps across every connected document.
05 - What it does
Built for the craft of requirement engineering.
Autonomous research
The agent reads your knowledge base, pulls relevant context, and proposes a structured draft before you roll up your sleeves.
Company-aware
Learns your terminology, templates and governance. Not a generic model bolted onto your docs.
Smart refinement
Gap analysis, change-request reasoning, and self-checks built into every story.
Native integrations
Jira and Confluence out of the box. API-based connectivity to the rest of your SDLC.
Human-centered
A copilot, not an autopilot. The analyst stays in charge at every step.
06 - How it ships
Agent-as-a-Service on infrastructure you can audit.
Deployment
Runs on Microsoft Azure with tenant-isolated data boundaries. Your data never trains anyone else's model.
Security
SOC-2 attested infrastructure, proactive access management, continuous monitoring, encryption in transit and at rest.
Integration
Jira and Confluence out of the box. API-based connectivity for the rest of your SDLC. Embeds into agentic toolchains and coding agents.
07 - Let's talk