AI makes work faster.Sorvynn makes companies smarter.
Sorvynn discovers where AI can improve work, then turns review, correction, approval, and outcome data into a governed Operating Model your company owns, so every workflow, Program, and AI tool starts from how your company actually works.
One surface for
company judgment.
Operators can see work forming, approve shadowed Programs, verify evidence, monitor value, and inspect what Operating Memory learned from review, correction, approval, and outcome signals.
Command Center
Company judgment becomes reusable.
Then AI work stops starting from zero.
Capture judgment
Sorvynn records the reviews, corrections, approvals, rejections, and outcomes that usually disappear after work gets fixed.
Build the Operating Model
Those signals become a governed, customer-owned model of how work moves, what good looks like, who approves what, and which outcomes matter.
Run governed Programs
Sorvynn uses that model to find repeatable work, assemble the right inputs, route approval, and run controlled Programs inside your environment.
Improve with evidence
Every action produces Flight Recorder evidence. Every correction can improve the next run, so AI work compounds from the company standard.
The hidden cost of AI.
Output becomes rework without company judgment.
1work.output({2 source: ['copilot', 'vendor_ai', 'agent'],3 status: 'needs-company-review'4})
See where company
judgment lives.
The Atlas turns company judgment into something operators can inspect, filter, challenge, package, and apply across workflows, AI tools, approval routes, and evidence surfaces.
The shift is felt in the work.
Not just in the console.
Most employees will not live inside the Memory Atlas. They feel Sorvynn when recurring work arrives with better context, fewer missing pieces, cleaner approval paths, and less cleanup. The operator sees the system. The company feels the standard showing up in the work.
Work starts closer to done.
The next packet, report, deck, approval, or AI draft starts with the right sources, owners, reviewers, and standards already attached.
Reviews stop repeating themselves.
When someone fixes the same issue, adds the same evidence, or escalates the same exception, Sorvynn makes that lesson reusable the next time.
AI tools inherit the company standard.
Copilot, internal agents, vendor AI, and governed Programs can start from the company’s operating knowledge instead of generic context.
Your AI tools can stay.
Sorvynn makes the lessons compound.
People will keep using AI tools, vendor features, and internal builds. Sorvynn makes that work compound by capturing the reviews, corrections, approvals, and lessons around it, then applying that operating knowledge across the systems your business already runs.
Customer-owned.
Customer-resident.
Sorvynn is built for the systems, data, and decisions companies cannot afford to leak or lose. We're in the process of becoming SOC 2 Type II and GLBA compliant, with continuous monitoring via Vanta. Every layer of the platform - from deployment to data handling to evidence trails - is designed to match what your IT, security, and compliance teams need to defend.
SOC 2 Type II — In process
Independently audited security controls, with continuous monitoring via Vanta.
Single-tenant deployment
Sorvynn deploys inside your own environment. Your data never leaves your tenant.
Encrypted in your tenant
Data is encrypted at rest and in transit, with secrets and access controlled inside the customer's environment.
GLBA — In process
Built to the controls financial-services regulators expect, with full audit-trail exportability.
See where AI work
is becoming rework.
Run a discovery pilot inside your approved environment. Sorvynn identifies recurring work, shows where review and correction keep repeating, and turns the strongest opportunities into governed Programs that can be deployed with evidence.