Adopt “execution intelligence” to close your change management gap

Execution is where enterprise AI investment either converts or stalls. Executing transformation requires teams to adopt new technologies and change their ways of working. While transformation and OpEx leaders can see what they’ve bought in terms of tools, licenses, and training hours, they often lack visibility into how the workforce is delivering around who adopted ways of working, who is resisting, or which team is about to derail a project.

Quarterly surveys deliver signals too late. Leaders must be able to measure change in near real time for better on-the-ground execution of their transformation efforts. A small but fast-forming cluster of startups is now providing AI-led execution intelligence to support the “how to” of change management and its crucial role in achieving business goals with AI transformation.

According to the 2025 HFS Pulse survey, 68% of organizations ranked people challenges as the most significant internal barrier to achieving business goals. These change challenges are the culture and skills debt, causing a drag on execution and ultimately performance. Unless there’s a firmer grip on change management, enterprises lose their transformation momentum and are unable to keep pace with technology innovation.

Solutions from firms such as Pandatron offer execution intelligence and close to real-time visibility, providing the opportunity to intervene early enough to keep ROI on track.

Apply a Services-as-Software™ solution to reach further than human-intensive consulting alternatives

Pandatron, a 15-person seed-stage company, is taking a Services-as-Software approach to change management. It offers a continuous software platform that replaces the human-intensive consulting services of interviews, workshops, decks, survey analysis, and steering committees, going beyond where human consultants can reach through three distinct design choices:

1. Scale of intimacy: Where a tier-one consultancy may interview 100 people in a 100,000-person organization over three months, Pandatron’s AI agent holds confidential, guided conversations with every employee every week in 10–15 minutes. It positions itself as a thought partner and execution support layer, drawing on expert content.
2. Real-time signal layer: Those interactions feed an execution dashboard that surfaces adoption hotspots, resistance, and emerging risks before they become crises. A proprietary Change Confidence Index (CCI) translates behavioral signals into a single comparable score, giving leaders execution health insights tied to projected delays in ROI. Leaders get a real-time “MRI scan” of the health of their transformation.
3. Action loops: Internal prediction markets and AI-assembled task forces pull together people from across the business to tackle shared problems early and fast to keep transformation on course and improve execution.

Employ a new activation layer to support employees who must both manage agents and be managed by agents

Conventional change management is episodic, retrospective, and impersonal. Pandatron offers continuous, predictive one-to-one change management, compressing cost and scaling outcomes, with commercial contracts shifting from bodies billed to value delivered, in line with the drive to Services-as-Software. As every workflow becomes agent-augmented, all employees will be expected to both manage agents and be managed by them. That behavioral shift demands a new activation layer.

Pandatron is not alone in seeking to shape this layer to drive change supported by execution intelligence. HFS expects rapid consolidation as AI transformation budgets grow beyond traditional change management spend. Change management is too often under-valued and becomes the first line item to cut when budgets are tight. This new category may prove the unlock thanks to the measurability of impact on execution it offers.

Startups and incumbents add AI to accelerate AI adoption

Others shaping the space include Valence (an AI coach for managers), BetterUp (adds AI into its coaching estate), Workhelix (builds adoption analytics for AI rollouts), and Section (enables AI fluency at scale). Incumbents include WalkMe (now owned by SAP) and Whatfix (bolts generative AI into their digital adoption platforms).

Pandatron’s distinction is to bring together personalized activation with a continuous leadership-grade execution intelligence into a single offering. Nearly 30 enterprise clients have already signed up and are deploying Pandatron in AI adoption, M&A integration, business transformation, and leadership development, serving clients such as Panasonic, Mitsubishi, Skanska, Kelly, KPMG, and SAP.

The Bottom Line: Make execution visible for a firmer grip on transformation.

If your transformation read-out is still a quarterly survey, you are flying blind. Pilot an execution-intelligence platform against a live transformation in the next 90 days and measure the lift in adoption. Make execution visible, or let your culture and skills gap destroy the returns you have already paid for.