Change management finally has infrastructure.

Run your change program in one place. Draft the work, support every employee, and see adoption as it moves.

  • Built and hosted in Switzerland
  • GDPR compliant
  • Built for EU AI Act governance
  • Support

    Personal, on-demand support for every affected employee.

  • Speed

    Communication plans and impact updates drafted inside the live program.

  • Reach

    Employee companions work in Teams, Slack, and Google Chat.

  • Insight

    Themes from real conversations keep the adoption picture current.

Stop firefighting complex human transformations with email and slide decks.

Why transformations fail

Seven small gaps compound.

Harvard DCE Professional and Executive Development Research source
Where momentum is lostClick a pressure point
Incomplete strategy

Tactics begin before the path and people impacts are clear.

Firefighting

Failure modes synthesized from Harvard DCE, “7 Reasons Why Change Management Strategies Fail and How to Avoid Them.”

How Changewiser supports every role

One program. Three views.

Support the employee. Strengthen the change manager. Give leadership a live view.

01 · Employees

Personal support, for every person.

Answers, nudges, and pulse checks arrive where people already work.

Always-on personal support
  • Immediate answers from approved program information
  • Journey nudges that help new habits stick
  • In-work pulse checks when friction appears
Coming soon · Role-specific learning
02 · Change managers

Less administration. More human judgment.

Drafting artifacts, running analysis, and adjusting deliverables start with an ask. The change manager keeps judgment, review, and approval.

  • Any change artifact, grounded in the live program
  • Analysis without rebuilding the source material
  • Review and adjustment in the same workspace
03 · Program leadership

A live view of where attention is needed.

Employee signals, interventions, and decisions stay connected in one steering view.

  • Adoption risk becomes visible earlier
  • Decisions stay tied to current evidence
  • Sponsor attention goes where it matters
The Adoption Loop

Sensing, support, and decisions belong in one loop.

Most programs keep them in separate rooms. Changewiser runs the work in one daily loop.

01Sense

Questions and signals from every group, in the flow of work.

Click or tap a stage to explore the loop.

  1. 01 Sense

    Questions and signals from every group, in the flow of work.

  2. 02 Surface

    Anonymous themes by role, country, and group, the day they form.

  3. 03 Steer

    Decisions on this week's evidence, from a live one-pager.

  4. 04 Support

    Interventions drafted, reviewed by you, and delivered personally.

Three surfaces. One system.

One workspace for the team keeping change moving, one companion for every employee, and one live view for the person accountable.

For the change team

Change Hub

Run the program from one workspace. Mary, your AI Change Assistant, keeps the workspace current and executes tasks on your behalf, grounded in approved program information and under your review.

Ask Mary to Draft artifacts Analyze impact Create a plan Review deliverables
Change CompanionScripted preview

Does the new batch record system change how I sign off deviations?

Yes. From go-live onward you sign electronically, and the four-eyes step stays.

Approved source
For every employee

Change Companions

Employees get approved answers and tailored learning in the channels they already use. Sensitive questions go to a named human.

For leadership

Organizational intelligence

See adoption barriers the day they form. When several people raise the same issue, it appears as an anonymous theme and feeds the approved knowledge loop.

Themes surface when several people raise them. No individual is ever shown.

The exciting part is the loop. The rest is deliberately boring.

Everything an employee sees passes the same gates. The controls your diligence team will review are stated below.

Governed intelligence, with a human in control

Mary cites every draft to its source. Nothing reaches an employee without human approval.

Mary cannot publish a guide, approve knowledge, send email, change privacy settings, or read an employee conversation.

Review queueAwaiting human approval

Content integrity

  • Approved sources

    Companions answer only from content the change team approved.

  • Human review gates

    Everything employee-facing passes human review before it publishes.

Identity and privacy

  • Anonymity threshold

    Themes form only when enough people raise them. There is no override.

  • Sealed identities

    No manager can read an individual conversation. No individual appears in reporting.

  • Model training

    Employee conversations are never used to train foundation models.

  • Data residency

    Built and hosted in Switzerland. GDPR compliant and built for EU AI Act governance.

Access and accountability

  • Role-based access

    Who sees what is explicit, set per role and per program.

  • Audit log

    Every action in the workspace is logged and attributable.

The numbers, with their labels on.

Each figure is labeled as a benchmark or model. Your first program supplies the measured results.

Industry benchmark

7x

Initiatives with excellent change management are seven times more likely to meet objectives. Context for the discipline, not a Changewiser result.

Prosci, 10,800+ contributors.

Our model

8 to 12 hours

Returned to each change manager per week as reporting, drafting, and repeat questions move into the system.

Modeled from the old stack's workload. Your program measures the real number.

Engagement fact

One program

A defined scope, success criteria, and exit. Every affected employee is included from day one.

Pricing scales with the transformation, not employee headcount.

The sensible questions.

Can a manager read an individual employee's conversation?

No. Identities are sealed by the architecture. No manager can read an individual conversation, and no individual ever appears in reporting.

Where is our data hosted?

In Switzerland, where the company is built and based. Changewiser is GDPR compliant and built for EU AI Act governance. Employee conversations are never used to train foundation models.

What does an engagement look like commercially?

The engagement covers one program with a defined scope, success criteria, and exit. Pricing scales with the transformation rather than employee headcount. Programs start from approved content and reach employees in Teams, Slack, or Google Chat, with nothing new to install.

Does this replace our change managers?

No. The system carries the production work: reporting, drafting, tracking, the repeated questions. Judgment, approval, and the program stay with your team.

Bring one transformation.

A thirty-minute working session uses one of your transformations to map its stakeholder groups and run the loop.

One program with a defined scope, success criteria, and no long-term lock-in.