The AI landscape doesn't move in one direction — it lurches. Some techniques leap from experiment to table stakes in a single quarter; others stall against regulatory walls, technical ceilings, or organisational inertia that no amount of hype can dislodge. Knowing which is which is the hard part. The State of Play cuts through the noise with a rigorously maintained index of AI techniques across every major business domain — classified by maturity, evidenced by real-world adoption, and updated daily so you always know where you stand relative to the field. Stop guessing. Start knowing.
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AI that maps informal organisational networks from communication patterns to identify influencers, silos, and collaboration gaps. Includes collaboration graph analysis and information flow mapping; distinct from contact mapping in sales which maps external rather than internal relationships.
Organisational Network Analysis (ONA) makes invisible workplace structures legible — mapping informal networks from communication metadata to surface influencers, silos, and collaboration bottlenecks. The tooling is technically mature and the use cases are proven. What has stalled is adoption.
Forward-leaning enterprises deploy ONA for onboarding optimisation, change management, and attrition prediction, with Microsoft Viva Insights anchoring the platform market and specialist vendors like Polinode and Worklytics serving targeted methodologies. ONA is now a competitive standard feature across people analytics platforms, with pricing models spanning $2.99–$10 per user. Yet most organisations have not started. The practice sits at a leading-edge tier defined by a stubborn tension: platform capability has outpaced organisational readiness. Privacy regulation (GDPR, NLRB surveillance presumptions), employee trust erosion from passive monitoring, and limited demonstrated ROI outside large enterprises with dedicated governance functions all constrain broader diffusion. ONA's challenge is no longer technical — it is cultural and regulatory.
The ONA tools market achieved independent analyst recognition as a discrete category, with recent analyst reports valuing it at USD 0.70B (2026) growing to USD 1.55B (2031) at 17.23% CAGR (Mordor) and USD 597.5M at 16.9% CAGR (Technavio 2025-2030) — hybrid and remote work proliferation identified as the primary driver. Microsoft Viva Insights remains dominant, but May 2026 revealed strategic platform contraction: Viva shrank from 10 modules to 7, with Viva Goals discontinued (Dec 2025) and Viva Topics discontinued (Feb 2025) as Microsoft shifts focus toward Copilot branding — a consolidation signal that may shift ONA market share toward specialist vendors. Independent vendor ecosystem contains 10+ mature platforms (Polinode, Kondct, Humanyze, Visier, GraphAware) offering feature scores of 7.0-8.9/10, indicating product-market fit and methodological diversity; organizations are increasingly selecting standalone ONA platforms (Worklytics, Culture Amp, Lattice) over bundled tools for flexibility and multi-platform support. ONA has become a competitive standard feature across people analytics platforms: market comparisons show Communication Network Mapping as table-stakes capability, with pricing models spanning $2.99–$10 per user, indicating market expansion into mid-market tiers. Vendor ecosystem expansion shows ONA maturity crossing functional boundaries — platforms like Prodoscore now position ONA capabilities to people analytics leaders, operations, and sales teams, demonstrating organizational breadth beyond HR-specific use cases. Specialist vendors continue real-world deployments: Polinode executed structured KCS coach identification at a multinational enterprise; Worklytics published onboarding analytics frameworks using Microsoft Research datasets of 10,000-plus employees. Interest is spreading beyond English-speaking markets — Japanese HR publications and Italian consulting practices now apply ONA to attrition prediction and innovation bottleneck resolution.
Real-world deployment evidence continues to accumulate at scale. Microsoft's internal restructuring in early 2026 deployed Viva Insights ONA across 228,000 employees for burnout and engagement analysis, achieving 70% HR automation, 40% headcount reduction, and 28% bias reduction in performance calibration — the largest documented enterprise ONA deployment for HR transformation. A Second Talent 2026 adoption survey reported 19% of organizations now explicitly use network analysis for collaboration and influence mapping, positioning ONA as an emerging advanced capability. Practitioners report specific methodologies in production: privacy-preserving manager effectiveness measurement using collaboration metadata with K-Anonymity protections; culture-audit frameworks diagnosing how informal networks govern information flow (one global firm identified 8% of employees as key brokers for 60% of collaboration, with European bank case achieving 18% response-time reduction via ONA-guided restructuring); formal change-management leveraging the "3% rule" (3% of employees influence 90% of peers); and structured onboarding optimization. Methodological rigor is advancing with peer-reviewed research on causal inference for network formation (Harvard, Stanford, UC Irvine) and validation of ONA principles across non-corporate contexts (university sports associations). Vendors are integrating AI adoption tracking into ONA analytics, recognizing that network patterns—density, centrality, cross-team connectivity—reveal how AI tools propagate through informal influence channels rather than formal rollout. The foundational tension between informal and formal organizational structures is now widely recognized: innovation flows through informal networks that org charts do not reveal, creating opportunities for strategic network intervention.
Yet adoption barriers intensified in March 2026 and remain structural. Trust itself has become the gating factor: empirical research (N=438) shows that people analytics adoption significantly erodes organizational trust and increases turnover intentions, with effects driven by privacy concerns rather than system sophistication — employees exposed to full managerial dashboards report substantially worse trust than those seeing only employee-facing interfaces. Regulatory constraints are now explicit: California SB 7 (effective January 2026) mandates "human in the loop" for all algorithmic employment decisions; the EU AI Act classifies workplace surveillance as high-risk, requiring rigorous logging and oversight by August 2026; algorithmic discrimination litigation is forecast to surge 40% in Q3 2026. Accenture's deployment of Viva Insights without employee notification triggered GDPR compliance concerns and union pushback — a pattern repeating across organisations lacking governance infrastructure. Platform limitations persist: Viva Insights lacks an official migration path for analytics continuity during M&A integrations, disrupting HR analytics continuity on engagement trends during critical organizational change; Microsoft's platform contraction signals deprioritization of ONA as a standalone offering, creating vendor risk. Data quality remains problematic; Microsoft's Viva Insights has reported inaccurate Copilot adoption metrics since late 2025. Technical constraints limit email-only network analysis: approximately 30% of employees may not send email for months, requiring multi-source network collection (Slack, Teams, CRM, documents) — a complexity barrier for organizations with dispersed collaboration tools. Organizational barriers compound technical ones: employees express discomfort with granular individual tracking even at aggregate reporting levels; 54% of US employees report they would quit if monitoring increased; 75% of Australian workers oppose surveillance without clear communication and necessity. The market remains concentrated in large enterprises with dedicated compliance functions. Mid-market penetration is blocked by regulatory uncertainty, platform limitations in complex organizational scenarios, ecosystem lock-in (Viva Insights favors Microsoft-native organizations), and the persistent difficulty of demonstrating ROI — even as deployment capability advances, organizational readiness and trust remain the limiting factors.
— Technical analysis revealing capability gaps in Viva Insights for team-level visibility (lacks response-time SLA tracking, workload distribution metrics); indicates that ONA platforms must expand beyond individual metrics to deliver team and organizational network insights—negative signal documenting constraints.
— Microsoft 365 roadmap announcement (RM566317) for customizable Power BI reporting in Viva Insights (GA July 2026), enabling flexible analytics customization with adjustable time ranges, filters, attributes, and visualizations—showing vendor investment in analytics flexibility.
— Official Microsoft documentation defining ONA concepts, use cases (change management, org design, talent development, innovation, M&A, remote work, leadership), and implementation patterns with R/Python code examples for network visualization and metrics analysis within Viva Insights platform.
— Compliance guidance documenting 2026 regulatory landscape for workplace monitoring: GDPR, UK GDPR, state privacy laws, Canadian law, and AI regulation now require transparency, data minimization, consent, and human oversight—structural governance constraints limiting ONA adoption without explicit opt-in and business justification.
— Practitioner conference summary (TALREOS, major people analytics event) identifies ONA as strategically necessary; specific deployment signal shows network-based survey design detects manager relationship patterns traditional surveys miss (14-point difference in manager feedback, 10-point difference in career growth).
— Prodoscore vendor positioning ONA as core people analytics capability: surfaces collaboration patterns, cross-functional connection strength for succession planning and informal influence identification; demonstrates ONA maturity as standard competitive feature.
— Prodoscore marketing ONA capability across HR, operations, and sales buyer personas; demonstrates cross-functional organizational adoption beyond traditional people analytics domain.
— Practitioner analysis applying ONA concepts to burnout/retention prediction 6–12 weeks early; cites Worklytics research on network centrality and betweenness as actionable signals for proactive team intervention.