Data Sovereignty
Every query to a hosted LLM — ChatGPT, Gemini, Copilot — is a potential exposure event. Comp bands, carry schedules, LP-adjacent HR records. Compliance won't sign off. And they're right not to.
YourcompetitorsaredeployingprivateAI.YourOracledataisstillsittingbehindacompliancewall.
Precise AI builds confidential HR assistants inside your firewall — connected to your live Oracle database, audited on every query, deployed in 10 weeks.
DEPLOYED INSIDE FIRMS MANAGING
All engagements under NDA
Measured outcomes across active engagements
0 hrs/week
Repetitive HR queries automated per engagement
avg. across active deployments
< 0 sec
Response time across 50 concurrent users
measured under load test
0%
Queries audit-logged and exportable, day one
zero gaps — by design
THE PROBLEM
Public AI is a compliance event
waiting to happen.
Most asset management firms are stuck between two bad options: use ChatGPT and risk a data breach, or avoid AI entirely and watch competitors pull ahead.
The Integration Gap
Off-the-shelf HR bots don't connect to Oracle, Workday, or SAP HCM. They surface policy PDFs at best. Your live data — leave balances, payroll dates, role-specific records — remains completely untouched.
No Audit Trail
Regulators and internal audit need to know who asked what, and what the system answered. SaaS chatbots can't deliver that. Neither can spreadsheets. When they ask, you won't have an answer.
THE METHOD
The Private Deployment Framework™
Not a SaaS subscription. Not a chatbot wrapper. A purpose-built private AI system — inside your infrastructure, governed by your rules.
01
02
03
04
Weeks 1–2
Discovery & Prototype
- HR stakeholder interviews
- Use-case mapping
- Mock chatbot demo
- Signed requirements doc
Weeks 3–6
Integration & Security
- Live Oracle DB connection
- RAG pipeline for policy docs
- Role-based access control
- Full audit logging
Weeks 7–8
QA & User Acceptance
- Bug fixes & UAT
- 5–10 HR user testing
- Sub-3-sec response tuning
- Resilience testing
Weeks 9–10
Deployment & Handoff
- Production deployment
- 50-user stress test
- HR team training
- Full handoff documentation
Milestone-based invoicing
Four invoices tied to four signed deliverables. No open-ended retainers. No surprises.
IMAGINE 90 DAYS FROM NOW
Your HR team isn't answering the
same question for the 40th time this month.
Today
- Manual HR queries consuming 15–20 hours per week
- Compliance team blocking every AI tool that touches personnel data
- No audit trail when regulators ask who accessed what
- Junior staff pulling partner-level data by mistake
90 Days Later
- Private AI handling repetitive HR queries instantly, 24/7
- Full audit log, exportable on demand — regulators satisfied
- Role-based access enforced before the model sees the query
- Your team focused on decisions, not data retrieval
THE PRECISE AI APPROACH
A private HR assistant that knows your firm's data — and no one else's.
Custom-built. Behind your firewall. Connected to your live Oracle database. Governed by your access rules.
Zero Data Retention
No bytes leave your perimeter. Anthropic's API is configured with zero data retention — no storage, no training on your queries.
Role-Based Access
Permissions validated before any query reaches the database. A junior HR user cannot retrieve partner-level comp data — even by accident.
Full Audit Trail
Every query logged: user ID, timestamp, query text, response, sources accessed. Exportable on demand for regulators.
Oracle DB Grounding
Responses grounded only in your live data and approved policy documents. Zero hallucinations on HR data — no inference gaps.
TLS 1.3 Encryption
All traffic encrypted end-to-end: user to app server, app server to Oracle, app server to model API. No plaintext at any hop.
No Third-Party Residency
Hosted on infrastructure you approve, in a region you choose. No unexpected data leaving your jurisdiction.
HOW WE COMPARE
Why generic AI tools fail
compliance-sensitive firms.
| Feature | Public AI Tools | Generic HR SaaS Bots | Precise AI |
|---|---|---|---|
| Live Oracle DB connection | |||
| Role-based access at query layer | Limited | ||
| Full audit log of every query | Partial | ||
| Zero data retention | Varies | ||
| Grounded answers — no hallucinations | Limited | ||
| Deployment timeline | N/A | 6–12 months | 16 weeks |
IS THIS FOR YOU?
We work with a specific type of firm. On purpose.
This is for you if:
- You manage assets, capital, or sensitive LP/employee data
- You run Oracle, Workday, or SAP HCM as your core HR system
- Your compliance team has already blocked ChatGPT or Copilot
- You have £500K+ revenue and are ready to invest in a proper solution
- You need something live in under 3 months, not a 12-month IT project
This is NOT for you if:
- You want a chatbot widget on your marketing website
- You're looking for a SaaS subscription to self-configure
- You don't have Oracle or an equivalent enterprise HR system
- You need a committee of 12 to approve a vendor
FAQ
Questions we get on every discovery call.
ChatGPT Enterprise still processes your data on Microsoft/OpenAI infrastructure. We deploy inside your own firewall, connected to your own Oracle DB. No data leaves your perimeter. That's a fundamentally different security posture — one your compliance team can actually sign off on.
MA
Founder
Muhammad Aqdas
Founder, Precise AI · London
"Precise AI builds one product for one type of buyer. We don't do marketing chatbots, customer service bots, or AI 'transformations.' We deliver private, integrated HR assistants for firms that handle sensitive personnel data — and we do it in 10 weeks."
[Replace with your actual bio — suggested: X years building production AI for regulated financial clients. Background in engineering/ML. Founded Precise AI to solve the one problem off-the-shelf AI vendors won't touch.]
THE NEXT STEP
A 30-minute confidential
discovery call.
We'll cover your HR data environment, the queries your team handles weekly, your compliance requirements — and whether Precise AI is the right fit. If not, we'll say so.
Book a Private Strategy CallEvery conversation is covered by an NDA on request. Discretion is the default.