Who it is for
IT evaluates differently from the board. A division manager's concerns are not the CFO's concerns. Each section below speaks the language of the role it addresses.
IT Department
IT Director, Security Engineer, Systems Administrator
Every vendor has to pass the same spreadsheet. Here is the short version.
Division Managers
Engineering Lead, Legal Ops, Marketing Director, Department Head
Once the AI budget is approved, somebody has to prove it was worth it. With today's fragmentation, that is non-trivial. This is the reason we built Swarmix.
Is AI making my team faster or just busier?
Interaction friction trends, turns-to-resolution, and session completion rates per team member. If friction is rising, the tool is hurting, not helping.
Workforce Effectiveness Index
Which seats are we wasting?
Sessions per user, last-active tracking, and feature utilisation heatmaps. Inactive seats surface before renewal, not after.
Productive Seat Utilisation
Did that training actually help?
Before-and-after comparison: prompt quality, friction reduction, and time-to-resolution. Measurable change within two weeks of any workshop or onboarding.
Training ROI Delta
How do I justify next quarter's budget?
Cost per session, per task, per model at team level. Time saved quantified against licence cost. Real numbers, not estimates, for the budget review.
AI Cost Efficiency Ratio
What are the best practices across my teams?
Workflow pattern analysis and prompt quality tracking surface what high performers do differently. Templating from observed best practices, not guesswork.
Workflow Optimisation Score
C-Suite
CFO, CTO, COO, CISO, Compliance Officer
Four metrics that tell whether AI is creating value or risk.
Total AI spend vs. measured time savings, broken down by department and vendor. Trend line shows whether efficiency is improving or degrading quarter over quarter.
Composite of PII trigger rates, policy compliance, approval friction, and audit trail completeness. One number that tells the board whether AI use is governed or uncontrolled.
Percentage of licensed seats generating measurable productivity gains. Identifies wasted spend before contract renewal and justifies expansion where adoption is high.
Adoption velocity, friction trends, model-task fit, and anomaly alerts. One metric that shows whether the AI strategy is working or stalling.
The Board
Board of Directors, Advisory Board, Non-Executive Directors
When fiduciary duty includes AI, the active exposure to risk is well documented.
Regulatory exposure
EU AI Act penalties reach 7% of global revenue. Without audit trails, decision-point logging, and identity management, compliance is undemonstrable.
Vendor lock-in
94% of enterprises fear vendor lock-in (Flexera 2025). Governance and decision history live inside vendor platforms. Switching means starting over.
Shadow AI liability
78% of employees use AI tools outside IT control (Microsoft 2024). 77% paste sensitive data into GenAI tools, adding $670K per incident to breach costs (IBM 2025).
Strategic blindness
Each vendor shows only their own usage. No cross-vendor intelligence. No view of whether AI creates value or just cost. The board governs AI by anecdote.
Regulatory exposure
Audit trails map directly to EU AI Act requirements. ISO 42001 coverage across six clause areas. Evidence generation on demand.
Vendor lock-in
Governance and intelligence persist across vendor changes. Swap any AI provider without losing knowledge or compliance history.
Shadow AI liability
Cross-vendor visibility into every AI interaction. On-device PII masking before data reaches any provider. Application-level policy enforcement.
Strategic blindness
Quarterly AI Health Index with trend data. Cost efficiency, adoption velocity, governance scoring, and predictive analytics. Governance by evidence.
IT gets control. Managers get answers. The C-Suite gets intelligence. The board gets assurance.
A walkthrough of unified visibility, governance, and intelligence across every AI vendor and team.