Compliant AI with governance you can prove.
Greyquill helps regulated enterprises put AI into production without losing the audit. Deployed in your environment, built on IBM foundations, designed so the audit answer is one query, not three weeks.
Curious about our products, method, or industries? Start with one of these or type your own.
100 ideas in.
~5 in production.
Most AI initiatives never reach production. The drop offs happen at three predictable stages, and every one of them has a known cause and a known fix.
Of every 100 GenAI ideas started, only ~5 reach production.
The 95% drop off at three predictable stages. Every one has a known cause and a known fix.
Models ship in weeks. Trust takes years.
Most AI initiatives stall not at the model, but at the moment a regulator, auditor, or board member asks: "How do you know this is safe?"
Your data is the audit.
Lineage, quality, sensitivity classification, access controls. If those aren't in place, no governance framework will save you.
Frameworks are not enforcement.
A policy in a PDF is not a control. We build governance that runs at runtime, with evidence you can hand to anyone who asks.
A three-step approach,
for success in your AI journey.
Three sequenced phases. Each one is implemented by one layer of the platform. Each one moves a KPI your board cares about.
See your AI risk and readiness clearly.
Maturity assessment, model inventory, regulatory gap analysis, board-ready risk picture.
Fixes the 40 lost to data not being AI-ready.
Put trusted data and runtime controls in place.
Master data, lineage, sensitivity classification, model lifecycle controls, real-time monitoring.
Fixes the 35 lost at evaluation.
Ship governed AI use cases with oversight that scales.
Productionised generative and agentic workloads, with evidence assembled while the agent runs.
Fixes the 20 lost in production.
- Case cycle time
- Cost-to-serve
- Audit pass rate
- Model approval velocity
- First-contact resolution
- Pilot to production rate
Inputs become understanding.
Understanding becomes data.
Data becomes action.
One pipeline, three layers. Watch a single artifact travel from raw input to executed automation, on systems you already use.
A purchase order, a goods receipt, and a vendor invoice arrive from three different systems. Watch one transaction travel through every layer.
- Detect document type
- Parse text + tables
- Extract entities
- Link to vendor master
- Classify PII fields
- Quality + completeness
- Compare PO vs GRN vs INV
- Apply tolerance rules
- Route + log audit
Reads documents, scans, and source records. Extracts entities, classifies content, outputs structured fields.
Promotes structured fields into a master record. Links to existing entities, classifies sensitive fields, stamps lineage.
Master records flow into purpose-built agents. This one runs three-way match, decides routing, logs the audit trail.
How it lands
in your environment.
Most regulated buyers ask the same second question: where does it run, and where does the data sit. Here is the short version. The architecture brief has the long one.
In your environment.
Inside your perimeter, on infrastructure you already control.
On IBM foundations.
The enterprise stack your security team already trusts.
Your data, your keys.
Records, lineage, and audit trail never cross our boundary.
Yours to own.
Open standards across the stack. No vendor capture.
For a CISO or InfoSec reviewer who needs more, the architecture and governance brief covers deployment topology, identity, key management, audit evidence flow, and IBM stack components in 2 to 3 pages. Get the brief →
Six platform capabilities,
built in by default.
Shared across every product on the platform. Available on day one, not behind an upgrade. The bar every Greyquill engagement ships to.
Master data, lineage, and quality
Every record unified across systems with full provenance. When the auditor asks how a number got there, the answer is one query, not three weeks.
Real-time data freshness
Data refreshes at the speed your decisions need. Drift detected before it lands in production, not after the board sees the report.
Governed AI activation
Pilots that pass model risk management on the first review, not the third. Use cases that survive a regulator visit. AI that keeps shipping instead of getting paused.
Audit evidence at runtime
Evidence packs assembled while the agent runs, not stitched together at month-end. The audit answer is built into the system.
Modular architecture
Add a new domain, a new agent, a new jurisdiction. The platform extends to absorb it. No re-platforming project, no migration team.
Built on IBM, owned by you
The platform stands on enterprise-grade IBM foundations. Your data, your governance configuration, and your agent definitions are yours to take. No vendor capture, by design.
If you are a…
- Head of AIshipping use cases your board will defend
- Chief Data Officermaking data trustworthy at the speed of AI
- Chief Risk / Compliance Officerturning AI policy into runtime evidence
- Chief Information Security Officerapproving AI workloads without rewriting your security posture
- Internal Audit / Compliance Leadthe champion who needs the evidence, not just the policy
- CIO / CTOmodernising the foundation underneath the agents
…you already know the pain.
- Pilots that never reach production because nobody can vouch for the data.
- Policies that exist in slide decks but not in the runtime path.
- Vendors selling you a "platform" instead of a defensible operating model.
- A board asking for an answer in two weeks that takes six months to assemble.
- Security review queues where every new AI use case waits behind the last one.
- An audit request that needs three teams and four weeks to answer one question.
No customer logos yet.
Here is what we have.
We are early. So, instead of testimonials or logos (coming soon), here is what we will stake the engagement on.
Senior engineers, 50+ years combined.
Four senior engineers across architecture, business analysis, infrastructure, and design. Careers spent shipping enterprise software in regulated sectors.
Read about usShipped in BFSI, telecom, retail, insurance.
Enterprise software for banking, financial services, insurance, retail, and telecom. Most of those projects shipped. Most of those clients came back.
How we workBuilt on IBM, owned by you.
Greyquill is an IBM Business Partner. The platform stands on enterprise-grade IBM foundations. Your data, your governance configuration, and your agent definitions are yours to take.
See our partnershipsIf you want a customer reference before signing, we may not have one yet.
Based on our 50+ collective experience, If you want a half-day diagnostic of your AI risk and readiness, we will have one in two weeks. It doubles as your evaluation of us.
The architecture
and governance brief.
Two to three pages, written for the people inside your organisation who have to approve this before procurement signs. Send it sideways to your CISO, your internal audit lead, or whoever asks the hard questions.
- Deployment topology: your cloud, on-prem, or air-gapped
- Data residency: what stays inside your perimeter, and how we keep it that way
- IBM stack components used, and which parts are replaceable
- Identity and SSO: bring your own IdP
- Audit evidence flow: what is captured, where it lives, who can query it
- What you take with you when the engagement ends
Let's design the AI foundation
your strategy actually deserves.
A 30-minute discovery call. No pitch deck. We listen, ask the hard questions, and tell you, honestly, whether we're the right partner.