Decode the business first.
Then act with agents
that know.
AI Engineers you can vouch for.
We deterministically decode your enterprise — business primitives, code, infra, schemas, security, compliance, decisions — into a Living Knowledge Graph. Then deploy supervised AI agents that ship migrations, automation, and AI adoption with proof at every step of AI-Native development.
Your business, decoded
Slack, meetings, JIRA, Confluence, schemas, contracts → entities, rules, dependencies
Atlas
Data Engineer · Tier 3
"14 tables moved. Used DECIMAL — that was Jane's call from the KG. Ready for sign-off."
Anmol G.
Data Architect
Signed off
Verified · Insured · Accountable
Traditional consultancies scale with people. We scale with intelligence. A lean pod of named human architects and AI agents that decodes your enterprise, ships the work, and signs for every outcome.
Early customers shipping production work with Vouchstone-grade named AI engineers.
The $4.4 trillion problem
Enterprise delivery is broken. AI adoption is stalling.
70% of transformations fail. 90% of GenAI POCs never reach production. OpenAI and Anthropic are pushing agentic AI into the enterprise — but most organizations lack the governance and domain context to adopt it. The $4.4T IT services industry needs a new delivery model.
projects fail
McKinsey, 2025
over budget
Standish Group, 2025
GenAI stalls at POC
Gartner, 2025
What enterprises are stuck with today
System Integrators & Software Consultancies
Rotating staff, T&M billing, zero knowledge retention
In-house only
4.7M unfilled tech roles globally, sequential execution
AI without governance
No audit trail, no sign-off, compliance blocks it
The AI adoption gap
78% have adopted AI. Only 1 in 4 see measurable ROI.
McKinsey Global AI Survey, 2025
say fragmented data and undocumented business logic are the top barrier to scaling AI
Deloitte State of AI, 2025
of organizations have slowed or paused AI rollout due to EU AI Act, NIST, and internal risk concerns
Gartner IT Risk Survey, 2025
of GenAI POCs fail to reach production due to integration complexity and lack of enterprise context
Gartner Emerging Tech, 2025
tech roles unfilled globally — the AI talent gap widened 25% year-over-year in 2025
World Economic Forum, 2025
of transformation knowledge is lost during consultant and vendor transitions, restarting discovery cycles
McKinsey Tech Trends, 2025
disconnected AI initiatives at the average Global 2000 company, with no shared context or governance connecting them
BCG AI Radar, 2025
The shift
By 2028, 33% of enterprise software will include agentic AI — up from <1% today.
The future of enterprise delivery is not more consultants or bigger teams. It is AI agents that understand your business, paired with human architects who are accountable for every outcome.
Gartner Agentic AI Forecast, 2025
How Vouchstone answers every gap
Living Knowledge Graph decodes your entire enterprise before any agent acts
Named human leads work with these decoded domain-led agents to deliver at lightning speed for complex enterprise tasks
Executives get a command center dashboard to review, control, and query every action and every timeline
Your engineers get a Dynamic Agent Harness repo to kickstart development from day one
How we're different · the engine
We don't guess at your business.
We decode it — piece by piece.
Stage 1
Decode
AI agents crawl your systems — infrastructure, code, data, contracts, processes — and extract a typed sub-graph for each domain.
Stage 2
Graph
Sub-graphs connect into one living enterprise knowledge graph. Entities, dependencies, and rules — linked, versioned, queryable.
Stage 3
Act
The pod ships on the graph. Every migration, every automation, every AI deployment is grounded in what the graph already proved about your business — not guesses, not assumptions.
The graph is reusable. Every engagement makes it richer — infrastructure decoded for a migration feeds the automation that follows. Compounding, not throwaway.
Dynamic Agent Harness
The harness wires the right agents to the right graph nodes — automatically.
When a new engagement starts, the harness inspects the enterprise knowledge graph, selects the agents with the right skills, scopes their access, and connects them to the sub-graphs they need. No manual wiring, no prompt engineering, no guesswork. The result is a commit log of provable work — every action signed, every outcome traceable. The harness also includes tooling, evals, guardrails, and the full agentic development lifecycle.
Harness commit log
Migration pod ships 142-table Snowflake cut-over
a3f1c9 · engagement #1
Automation pod deploys invoice-matching pipeline
7e2d4b · engagement #2
AI-adoption pod launches semantic Q&A layer
f8c301 · engagement #3
Why you can trust it
Accountability, engineered in.
Speed is easy to claim. We back it with three things almost no one else can.
A human on the hook
Every engagement has a named human lead — insured, indemnified, and on the contract. Not a chatbot. Not a ticket queue. A person you can call.
Every action signed
Every decision and every output lands in a tamper-evident ledger. When the regulator asks what happened, you don't reconstruct it — you read it back.
Fees on the line
We run a reverse SLA. Miss a milestone, miss a quality gate — penalties come from our fee, not yours. Skin in the game, not lip service.
Fully accountable with Reverse SLA
A traditional SLA protects the vendor — if things go wrong, you pay more to fix it. A Reverse SLA flips that: if we miss a deadline, a quality gate, or a parity target, the penalty comes out of our fee, not yours. We eat the cost of our own mistakes. That's what accountability looks like when it's engineered in, not bolted on.
Your pod
Long Running Agents that work like teammates.
Humans that sign like owners.
Two people and a team of agents. Not ten consultants. Pick what you need shipped and see your pod, and what it saves.
Trained AI agents
Agents are trained on public resumes, blogs, and tech publications to continuously enrich their domain knowledge.
In your standup & Slack
Agents post real updates and answer @mentions in the thread — grounded in your graph, like a teammate.
In your repo
They open pull requests and commit with tests and parity checks attached. Never a direct write to production.
Questioned & signed
Ask "why did you do X?" and get a cited answer. A named human signs every consequential action.
Transparent pricing — no surprises
Typical pod: 1 Human Architect + 4 Managed Supervised Agents. AI agents at a fixed $12/hour. Human architects at $125/hour. Self-Managed Platform at $7,500/month. Your full pod scope and cost band is published before you sign.
Human-Like, Dynamic, Live Agents
Supervised Autonomous Agents you can talk to.
Named AI Agents that understand your business knowledge graph. Each has a track record, versioned skills, a tier, and persistent memory. Talk to them, ask questions, give instructions — they work with your teams just like your teams work with each other. When the same engineer returns to your next project, they bring everything they learned.
Priya
Vendor & Contract Intelligence
Marcus
Infrastructure & Cloud Intelligence
Maya
Customer & Operations Intelligence
Felix
Governance & Compliance Intelligence
Atlas
Code & Data Intelligence
Vega
Financial Intelligence
Priya - Builds and maintains the Vendor & Contract Knowledge Graph — vendor relationships, contract terms, SLA obligations, renewal timelines, and risk scores. Every clause, every obligation, every counterparty relationship mapped and queryable.
The founders on your project
Real humans. Insured. On your contract.
Every project has a named human lead. Insured, indemnified, and accountable for the work the AI team does.
Renu Gupta
CEO & Founder · Company Law Specialist
Anmol Goel
AI Agentic Architect
Puneet Kapoor
QA Architect
Anand Behl
Corporate Finance Specialist
Ankit Saraswat
Java Architect
Mohit Gupta
Research Scientist
Aparna Gupta
Economist
Yash Shah
Product Engineer
Bhrigu Sharma
Infra Specialist
Renu Gupta
CEO & Founder · Company Law Specialist
Anmol Goel
AI Agentic Architect
Puneet Kapoor
QA Architect
Anand Behl
Corporate Finance Specialist
Ankit Saraswat
Java Architect
Mohit Gupta
Research Scientist
Aparna Gupta
Economist
Yash Shah
Product Engineer
Bhrigu Sharma
Infra Specialist
Where to start
Walk in through whichever outcome you need.
Same engine behind every one. Whatever you bring first, the next one is already faster.
Legacy & data migrations
COBOL, Oracle, mainframes, PeopleSoft, Teradata → cloud. Row-level parity with 99.99% verification. Months, not years.
AI & agentic adoption
Agents grounded in your knowledge graph — not a chatbot bolted onto docs. RAG, fine-tuning, guardrails. Governed and useful on day one.
ERP modernization
SAP ECC → S/4HANA, Oracle EBS → Cloud, PeopleSoft → modern stack. Agent-driven decomposition with compliance at every step.
Security & compliance
SOC 2, HIPAA, GDPR, PCI-DSS — continuous monitoring, automated evidence collection, audit-ready reports.
Process automation
AP, order-to-cash, claims, HR onboarding — automated end-to-end with human sign-off at every gate.
Not sure where to begin?
Tell us the outcome you need. We'll scope a pod, publish pricing, and start in two weeks.
Built for regulated industries
Pricing
Subscribe to a pod.
A monthly subscription that compounds — every sprint, the agents learn more about your systems and the pod moves faster.
The standing pod
One platform. One accountable pod.
Your pod includes a named human project lead, a team of domain-specific AI agents, the accountability platform, and the Reverse SLA. Everything ships through the signed ledger.
- Named human lead + AI agent team
- Signed ledger & verification gates
- Reverse SLA — we eat the cost if we miss
- Pause, keep, or adopt the pod
Programs typically run
$40K – $200K
billed as a monthly subscription
Get in touch
Let's talk about your project.
Tell us what you're working on. A named project lead will reply before your next meeting — typically within a few hours.
Email us directly
renu@vouchstone.aiEnterprise inquiries
VPC deployment, SOC 2, HIPAA BAA, custom SLAs
Ready to move?
Move fast. Sign for everything.
AI engineers you can vouch for.
Tell us the outcome. A named lead scopes it — before your next meeting.
Where our engineers learned
Our AI engineers earn every skill on nxnearby.
Want to upgrade your enterprise's skills in AI? Train your own team on the same platform our engineers graduated from.