SpecStory Enterprise · for CIO, CTO & VP Engineering
Your AI spend is real. Make its return visible.
SpecStory Enterprise turns the reasoning behind every AI-assisted change into a governed, compounding asset — so you can prove ROI, fund your highest-leverage engineers, and see what AI is actually doing across every team and every agent.
The unit of work moved up a layer.
Before
Humans wrote the code. Your tools, processes, and metrics were all built to manage code — repos, reviews, tickets, lines shipped.
Now
Agents write the code. Humans direct them with intent and context. The scarce, valuable artifact is the reasoning — not the keystrokes. Most orgs still instrument only the code.
Git solved what changed. At org scale, across every agent, the open question is why it changed — and today, nothing in your stack captures it.
You can feel it. You can't act on it.
“I can see productivity. I can't prove ROI.”
Demos are faster and a few engineers are superhuman — but lines of code and token bills don't translate into a number finance accepts.
“Usage is a power law, and we're managing it backwards.”
A few people get 10×; many get little. Capping tokens at the median starves your highest-leverage engineers to save pennies.
“I can't see what AI is actually doing.”
No traceable record of what agents did, under whose direction, with what review — scattered across Claude Code, Cursor, Codex, and Copilot.
Capture every agent. Turn it into assets your teams own.
It starts with free, source-available capture — every AI coding session recorded as clean, portable history across Claude Code, Cursor, Codex, Copilot, and Gemini. SpecStory distills that history into governed assets your engineers own, never locked to a single AI vendor.
Live visibility into what AI is doing
A live, org-wide read on what every agent is working on right now — open threads, what's blocked, what's waiting on verification — rolled up for each lead and the whole organization. The answer to “what is AI actually doing?” without a standup.
Knowledge that compounds into skills
Your teams' hard-won approaches, distilled into a shared, governed skill library — generated at scale and auto-steering every agent toward what already works. Your best engineers' methods scale to everyone, and no one solves the same problem twice.
Answers to “why does this exist?”
Search and MCP across your entire organization's history. Recover the reasoning, the alternatives, and the dead ends behind any change in seconds — instead of paying engineers to re-derive them.
Continuity across people, agents & time
Work resumes where it left off — across machines, teammates, and agents. Hand a thread off with full context instead of restarting from partial amnesia every session.
The metric that replaces lines of code.
Skills created. Skills reused across teams. Engineers running multiple agents at once. Compounding knowledge instead of vanity activity — tokens saved through reuse, spend tied to value, and a number your CFO and board can read.
128
+24 this qtr
1,940×
across 9 teams
36 / 50
running 3+ agents
41%
vs. last quarter
Skill reuse, by week
↗ compounding
Built for the enterprise.
The governance, measurement, and deployment controls an enterprise needs before it rolls AI out across the org.
AI provenance & audit
What AI did, under whose direction, and what was reviewed — captured by default. Audit-ready evidence ahead of NIST AI RMF and EU AI Act expectations.
Leverage analytics
Skills created and reused, multi-agent adoption, tokens saved — the leverage metric that replaces lines of code, rolled into a dashboard your CFO and board can read.
Deploy where your data lives
On-prem or bring-your-own-cloud, in containers, source-available under the BSL. A behind-the-firewall option for regulated environments — your traces never leave your walls.
SSO & Active Directory
Provision and de-provision through the identity provider you already run, with role-based access across every team.
Security posture
SOC 2 process underway, with the controls and reviews enterprise security teams require before a rollout.
Dedicated support & SLA
A named team, onboarding for your org, and a service-level agreement that matches how critical this becomes once it's live.
What to require of any solution.
Before you evaluate any vendor — including us — here's the scorecard a real solution has to clear. SpecStory was built to pass every line.
Cross-provider by default
A neutral layer across Claude Code, Cursor, Codex, Copilot, and Gemini — not one vendor's silo.
Distills, doesn't just store
Turns raw traces into reusable assets — skills and decision records — not a searchable junk drawer.
Answers “why does this exist?”
Recovers the reasoning, the alternatives, and the dead ends behind the code.
Produces governance evidence
What AI did, who directed it, what was reviewed — captured by default, not reconstructed later.
Measures leverage, not lines
Skills created and reused, conductor adoption — metrics finance actually accepts.
Deploys where your data lives
On-prem / behind-the-firewall option, so traces never leave your walls.
Get a handle on your AI coding ROI in 60 days.
One team, real work, a defensible number. You keep the assets and the ROI story; we earn a reference customer.
Connect one team
Point SpecStory at a single team's histories. Zero workflow change — they keep using the agents they already use.
Stand up the assets
Build the team's skill library and the first provenance and leverage views on real work.
Report the number
Skills created and reused, multi-agent adoption, and a baseline ROI model — presented to your exec team.
Keep the code. Stop throwing away the reasoning.
The expensive half of modern software is the intent behind the code. Enterprise is where that intent becomes a governed, compounding asset — and where your AI investment finally shows its return.