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Interaction Analytics

AI interaction data is a strategic asset. Own it.

Each vendor only sees their own slice. Swarmix sits across all of them, capturing the full picture of how an organisation uses AI across every vendor, every model, and every team.

Planned for Q4 2026Screenshots are indicative and may change.
Interaction analytics dashboard, overview
Interaction analytics, detailed view

The blind spot

Each vendor sees only their own slice. Nobody sees the whole picture.

The Anthropic console shows Claude usage. OpenAI shows GPT usage. Google shows Gemini. Three dashboards, three partial views, zero cross-vendor intelligence. Total spend across all of them? Which model works best for which task? Whether AI is actually making people more productive? Unanswerable.

Swarmix sits at the coordination layer, above the model layer. It captures interaction data across every vendor, every model, and every team. One unified view of how an entire organisation uses AI.

77%
of employees paste sensitive data into GenAI tools
98%
of organisations have unsanctioned AI use
81%
have no visibility into workforce AI use
$15.8B
AI governance software market by 2030 (Forrester)

Cost Intelligence & ROI

Cost per session, per turn, per model, aggregated by team, department, region. Cost to complete a task, not cost per token. Model switching patterns reveal wasted spend.

  • Budget allocation with department chargeback
  • Model standardisation: route simple tasks to efficient models
  • ROI quantification against developer time
Board metric: AI Cost Efficiency Ratio

Adoption & Engagement

Sessions per user, activity heatmaps, feature utilisation, resumption rates. See who's productive, who's struggling, and who hasn't started.

  • Identify low-adoption teams before renewal
  • Reallocate unused seats, right-size contracts
  • Promote underused capabilities with data
Board metric: Productive Seat Utilisation

Governance & Compliance

PII triggers by category and department, approval friction, regional exposure patterns. Automated evidence for auditors and regulators.

  • Compliance reporting with automated audit evidence
  • Regional policy customisation with stricter controls where needed
  • Department-level AI risk dashboards for the CISO
Board metric: AI Governance Score

Workforce Effectiveness

Interaction friction trends, prompt quality, turns-to-resolution, session completion. Measuring whether AI is making people better, not just faster.

  • Training ROI: workshop reduced friction by 40% in 2 weeks
  • AI fluency benchmarking across teams and departments
  • New employee time-to-AI-proficiency (measurable)
Board metric: AI Productivity Index

AI Strategy & Model Optimisation

Model performance by task type and team, vendor concentration risk, workflow pattern analysis. Data-driven model selection instead of gut feeling.

  • Model recommendation policies per task type
  • Multi-vendor strategy with diversification data
  • Workflow templating from observed best practices
Board metric: Model-Task Fit Score

Predictive Intelligence

With accumulated data: churn prediction, proactive model routing, anomaly detection, capacity planning. The analytics mature as the data grows.

  • Friction spike predicts tool abandonment 2 weeks early
  • Usage growth trends predict infrastructure needs
  • Anomaly alerts for sudden PII spikes or approval bypass
Board metric: AI Health Index
Company
C-Suite / Board Dashboard
AI Cost Efficiency · Governance Score · Productivity Index · Model-Task Fit
Region / Office
Regional Operations View
Regulatory compliance · Regional adoption · Time-zone patterns
Department
Department Head View
Team comparison · Budget tracking · Training effectiveness · Risk
Team
Team Lead Dashboard
Sprint insights · Model selection · Workflow optimisation · Skill gaps
Individual
Private, Local-Only
Personal patterns · Learning curve · Never aggregated without consent
k-anonymity guarantee (min 50 users per cohort) · Content-derived metrics never leave the device
CapabilityVendor dashboardsSwarmix
Token usage & costYesYes
Model comparison per taskNoPer-task, per-team
Interaction friction trendsInternal onlyUser-owned
Prompt quality trackingNoYes
Workflow pattern analysisNoSankey + sequences
PII / governance monitoringNoPer-category, per-region
Learning curve trackingNoPer-team, over time
Data ownershipVendorCustomer

One view across every vendor, model, and team.

Cost intelligence, adoption tracking, governance scoring, workforce effectiveness, unified across the entire AI stack.

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See how Swarmix works

A walkthrough of unified visibility, governance, and intelligence across every AI vendor and team.

  • Deploy in weeks
  • Works with any existing AI stack
  • SOC 2 compliant, GDPR ready