IntelliSpec
Product vision in. Built software out. IntelliSpec is one agent made of 14 specialists, running on AWS as a single production line. The specification fleet interrogates the idea, writes the epics, requirements, architecture, and tests, then prices and schedules the work. The execution fleet takes over, dispatching coding agents that open the pull requests. A human signs off at every gate. Every step traced. Every cost visible.
“Most tools stop at assistant or collaborator. IntelliSpec runs as an orchestrator: humans set the direction and the guardrails, and the agent fleet runs the lifecycle.”
Challenges IntelliSpec solves
Software delivery is being re-priced faster than any tooling can keep up. Three shifts put governed, spec-first AI delivery on every engineering leader’s agenda.
Revenue built on headcount and utilization falls as agents do the billable work. Buyers increasingly prefer outcome and consumption pricing, decoupled from headcount.
Every vision starts with 116 to 180 serialized senior hours and $15 to 20K of loaded labor across five roles, with no automated traceability or quality gates.
Only 4% of organizations execute successful AI transformations. Disciplined, governed agentic SDLC implementation is what gets them there, not the model.
IntelliSpec capabilities
IntelliSpec is an auditable agent ecosystem built for agentic AI in SDLC, not a single chatbot. Six working parts turn one product vision into reviewed, deployed software, with agent behavior in editable Markdown, so the lifecycle is yours to tune.
Seven in-process agents decompose a vision into a traceable spec hierarchy. 150 to 184 artifacts per vision.
Six coding agents implement, test, review, validate, secure and release. One agent per task, per wave.
Per-agent human sign-off, content-hash audit, RFC-2119 and anti-vague quality gates. A human on every gate.
Per-vision routing, live token and USD tracking, a runaway breaker and three-point budgets. Spend, measured live.
A full Vision to Epic to Feature to Requirement to Task graph and workflow, with inline diagrams and a schedule view. End-to-end trace.
Model-agnostic via Amazon Bedrock, or self-hosted on AWS for security, so nothing leaves your environment. Agent behavior in editable Markdown, with 390+ governed agent tools.
Built on AWS, well-architected
by design
IntelliSpec is deployed on AWS, mapping every part of the platform to managed AWS services, and it lines up cleanly with the AWS Well-Architected Framework.
THE STACK ON AWS
Amazon Bedrock engine bay, per-vision model routing
Amazon EKS agent fleet and orchestrator
Amazon S3 versioned spec store
Amazon DynamoDB runs, ACLs, sessions
Amazon Cognito / IAM auth and scoped access
GitHub + CI/CD branches, PRs, evidence
WELL-ARCHITECTED FIT
Security:
per-agent sign-off, content-hash audit, runs in your VPC
Cost optimization:
live per-vision token and USD tracking, budgets, runaway breaker
Operational excellence:
full traceability graph, evidence and release gates
Reliability:
dependency-ordered execution, release evidence, rollback
See IntelliSpec in action
One product vision goes in. In about 30 minutes a fully traced, estimated, testable backlog comes out, then coding agents open the pull requests. Watch a vision become a reviewable specification, live.
From one page of intent to 150+ linked artifacts, with a human on every gate.
Traceability spine
Vision
Epic
Feature
Requirement
Task
Code
Quality gates
Definition of Ready
Requirements gate
Architect gate
Evidence gate
Definition of Done
AI adoption maturity scale
Built around a simple AI adoption maturity scale, our methodology provides law firms with a familiar framework to structure the adoption of agentic AI for enterprise SDLC.
Traditional engineering
Software development driven by established methods, with minimal or no AI.
PRODUCTIVITY GAIN
baseline
AI as an assistant
Teams use AI-powered suggestions to accelerate task execution.
PRODUCTIVITY GAIN
1.1-1.2x
Like a pair programmer who types faster but waits for your approval
AI as a collaborator
Teams employ agentic AI to enhance execution through guided automation.
PRODUCTIVITY GAIN
1.5-2x
Like a junior teammate you guide, who can deliver chunks but still needs careful oversight.
AI as an orchestrator
Engineering is run by AI agents under human supervision, for quality and innovation. IntelliSpec runs here.
PRODUCTIVITY GAIN
up to 10x
Like a self-driving SDLC, where the engineer sets direction and guardrails, but does not execute
Why IntelliSpec?
For teams with high volumes of sensitive data and heavily regulated processes, IntelliSpec keeps every step of AI delivery visible, auditable and accountable. It is built for compliance and SDLC automation using agentic AI.
Built on AWS, in your account
Deployed on managed AWS services (Amazon Bedrock, EKS, S3, DynamoDB, Cognito) and self-hostable, so sensitive data and models stay in your environment. Per-agent sign-off and content-hash audit on every artifact.
From experimentation to production
IntelliSpec targets the high-evidence zone of AI delivery, specification, greenfield, modernization and tests, with the controls enterprises demand.
Measurable economics
Live per-vision token and USD tracking makes outcome-based delivery measurable, not a leap of faith.
productivity gain, as 14 specialist AI agents orchestrate the lifecycle
from product vision to a reviewable and estimated specification
linked artifacts with epics, features, tasks, and tests are connected through one traceability graph
acceptance-criteria coverage, as requirements are checked for testability and consistency
Our experts
The people behind IntelliSpec and Intellias agentic engineering.
AI Innovation Leader
Serhii is a leader in technology innovation and an expert in translating visionary ideas into practical solutions that drive strategic business initiatives. His commitment to R&D has established him as a thought leader, particularly in cloud computing and AI. As a frontrunner in AI augmentation engineering, Serhii has a central role in developing innovative AI products such as Intellias Digital Twin and IntelliAssistant, making him instrumental in shaping the company’s future.
FAQs
IntelliSpec is a closed-loop agentic SDLC platform from Intellias. It runs fourteen specialist AI agents across two stages: a specification fleet that turns a product vision into a traceable spec hierarchy, and an execution fleet that implements, tests and ships the work. A human approves at every gate.
Coding assistants optimize the individual developer on a single task, with no spec, governance, or delivery wrapper. IntelliSpec starts earlier, decomposing the vision, capturing architecture, estimating and sequencing the work, then dispatches coding agents task by task against an approved, traceable spec.
You do. Human approval gates pause the pipeline at critical checkpoints, and every approval is recorded for audit. Nothing advances to execution until the specification has been reviewed and approved.
Yes. IntelliSpec is available on AWS, deployed on managed AWS services: Amazon Bedrock for the engine bay and per-vision model routing, Amazon EKS for the agent fleet, Amazon S3 for the versioned spec store, Amazon DynamoDB for runs and sessions, and Amazon Cognito for auth. It maps directly to the AWS Well-Architected Framework.
Yes. IntelliSpec runs in your AWS account and VPC. It is model agnostic via Amazon Bedrock or self-hosted, so sensitive data and models never leave your environment. That suits regulated and data-sensitive delivery.
Every vision carries live token and USD tracking, three-point budgets, and a runaway breaker. Spend is forecasted up front and measured live, which makes outcome-based delivery measurable.
IntelliSpec is built on Intellias R&D results and an illustrative business-case model. Gains are strongest where pattern-matching dominates: specification, greenfield, modernization, and tests. Book a live demo to see a vision become a reviewable specification.