We connect AI with enterprise knowledge, processes, and systems.
For organizations that already run on business applications and legacy systems, the work covers architecture, security, and implementation so AI can operate in production.
Four ways in
Enterprise Knowledge AI
An answer cites sources the person is allowed to see.
AI Agents and Workflow Automation
A bounded agent can carry one step, with approval and a record.
Legacy Application Modernization
The logic stays, and the system can be integrated with less operational risk.
Secure AI Platform and Architecture
Runtime, identity, and the operating model are set before AI is treated as production.
Starting engagements
Each start is a fixed scope. The proposal states the price. Nothing on this page is a quote.
AI Opportunity Assessment
A fixed-scope review of where AI can meet a real process, and which risks have to be decided first.
Enterprise Knowledge Pilot
A bounded pilot that answers from permitted company knowledge and shows the sources.
Legacy Application Assessment
A fixed-scope reading of one legacy application: what must be preserved, and what blocks integration.
Agentic Workflow Pilot
A bounded pilot of one process step an agent may take, with approval and an audit trail.
What blocks production use
Fragmented knowledge
Answers sit in mail, files, and applications that do not share a source the reader is allowed to use.
Pilots that stall
A demonstration ends without an owner, a bound, or a path into production.
Legacy applications block change
The business rules live in systems that are risky to integrate and costly to replace blindly.
Repetitive manual work across systems
People carry data between applications because the process has no controlled handoff.
How the work proceeds
Spend and scope grow after the evidence from the previous stage. Advisory work is Discover and Assess, not a separate strategy service.
Discover
A shared problem frame: who is affected, which systems are in scope, and what success means.
Assess
A prioritized use and the risks that have to be accepted or removed.
Pilot
A measured result inside a bound.
Implement
A production path with named owners.
Scale
How the solution is operated, evaluated, and handed over.
Security and enterprise readiness
These are design commitments for the work. They are not certifications.
Identity
People and services keep the identities the organization already issues.
Authorization
An answer or an action stays inside the permissions of the caller.
Data access
Sources are selected. The model does not receive a copy of everything.
Cloud, hybrid, on-premises
The runtime follows where the data and the operations already live.
Auditability
A reviewer can see which source or step produced an outcome.
Human oversight
A person approves the steps that change a system of record.
Integration
The work connects to existing applications instead of standing beside them.
Maintainability
The result has an owner, a boundary, and a way to change it later.
Handover
Operation can move to the client. The practice does not keep the system by default.
Where the same problems show up
The fit is operational, not a claim of local proof. The overview is one page.
Manufacturing
Quality, maintenance, and operating knowledge are spread across plants and systems.
Energy and infrastructure
Long-lived assets and strict access leave little room for an unbound assistant.
Professional services
Client and internal knowledge has to stay inside the permissions of the engagement.
Who does the work
BizIntel is a founder-led practice. Roman Osieka works with clients directly across architecture, security, and implementation.
Insights
No articles are published yet.
Bring the process, not a tool list
The useful conversation starts from the knowledge, the systems, and the constraint you already have.
Discuss your use case