Judgment first. Software second.
We don't drop software at your door and leave. AIHSYS Advisory maps your stack, plans the work, and adapts the system to how your team actually operates — then stands beside you while it learns. Every engagement starts with a working session on one real problem.
Map. Plan. Integrate. Adapt.
Four stages, in the open — so you always know what we're doing, what it returns, and what's next.
Map
We sit with your team and chart every tool, hand-off and seam where time and revenue leak today — including the technical debt nobody has priced.
Plan
A clear, dated plan: what happens first, what it returns, and the business case behind it. No surprises, no open-ended engagements.
Integrate
We connect your systems into one secure view and switch on the agents you approve — copilot first, autopilot only when you're ready.
Adapt
Every fix becomes a repeatable playbook. We tune the system to your operation and review the numbers with you against the plan.
Nine engagements. One honest answer.
Each engagement produces a decision your board can act on — a number, a plan, or a defensible no. Never a deck that sits in a drawer.
Technology roadmap & vCIO
The anchor engagement: a dated 24-month roadmap with budget planning and quarterly reviews — clear direction owners can hold us to.
- Technology plan aligned to business goals
- Budget forecasting, renewals and lifecycle planning
- Quarterly reviews against real numbers
Technical debt assessment
75% of technology leaders expect technical debt to reach severe levels in 2026 — and most companies already divert 10–20% of their technology budget to servicing it. We inventory it, risk-rank it, and price it.
- Debt inventory across systems, code and architecture
- Risk-ranked remediation roadmap
- A number your CFO can budget against
AI ROI & business case frameworks
CFOs now require measurable ROI before approving AI spend — with reason: organizations that ignored technical debt saw AI returns drop 18–29%. We build the framework before the investment.
- Baseline metrics and unit economics per use case
- Value tracking — metered through Mycelium, not estimated
- Go / no-go criteria your board can defend
Workforce & AI strategy
The most sensitive engagement we run, and the highest-trust: deciding role by role what AI should augment, what it should automate, and how to bring your people along — with them in the room, not done to them.
- Augmentation-vs-automation decisions by role
- Skills mapping and reskilling paths
- Communication and transition planning
Data governance advisory
Regulators are asking, and every AI initiative depends on it — the precursor to our AI Data Readiness line.
- Classification, ownership and retention policy
- Access governance before AI exposure
- Evidence your auditor — and your models — can rely on
Cyber-insurance advisory
We review your controls against carrier questionnaires before renewal — working alongside your insurance agent, not around them.
- Readiness review against carrier requirements
- Gap remediation plan, prioritized by premium impact
- Attestation support at renewal
Business continuity & DR planning
Advisory-level continuity — the plan itself, distinct from the managed backup service that executes it.
- Business impact analysis; RTO/RPO definition by system
- Runbooks your team can actually follow at 2 a.m.
- Tabletop exercises, annually
Organizational change management
Adoption determines whether anything above returns a dollar. We plan it here and deliver it through Managed IT.
- User adoption planning with KPI-based measurement
- Training and enablement programs
- Security-first culture work
Workload placement assessment
The honest answer on cloud vs. on-premises — structural problem or tuning failure — before anyone signs a hardware PO or a migration SOW.
- Workload-by-workload placement decision
- Egress and dual-running cost modelling
- A defensible recommendation, either way
Sources: Forrester (technical debt severity outlook, 2026) · IBM Institute for Business Value, 2025 (n=1,300 senior AI decision-makers) · McKinsey (technology budget diversion to technical debt).
Start with the map
Give us 25 minutes and one real problem — a budget that keeps slipping, an AI pilot with no ROI story, a renewal questionnaire you can't answer. We'll bring the beginnings of an answer, not a pitch.