The Factter frame with one layer lifted from it.

Offer.

Factter helps organizations structurally lower their change load. The offer is a narrow ladder with four rungs: a self-check, the Change Load Diagnosis, a redesign track and interim embedding. Each rung delivers something you can decide on, even if you don’t continue afterwards.

1

Self-check: do you recognize the signals?

Five minutes. Recognizable signals of high change load, ordered in three clusters: delay, fatigue, pile-up. No score, but a first ordering. If you recognize three or more signals, a conversation is worthwhile.

Take the self-check →

Rung 2

The Change Load Diagnosis

“Why does our transformation keep stalling, and what needs to change structurally?”

The Change Load Diagnosis is a compact, clearly scoped investigation that makes visible where change piles up in your organization and which structural features cause it. You receive a compact board-level advisory with an ordered ranking of bottlenecks and a design direction. No scores or dashboards, but an expert judgment a board can decide on.

How the diagnosis works: survey first

The diagnosis starts broad and deepens where needed. A structured survey across a broad group of employees and managers yields the pattern: where change piles up, what lands at the same time, where room to adjust is missing. Only then come the interviews: a limited number, exactly where the picture raises questions.

For you that means two things. A broader and more honest picture than an interview round alone: everyone gets a say, not just whoever happens to be at the table. And considerably less strain on calendars: no weeks-long carousel of conversations through your organization.

When AI is the trigger

If your AI transformation is stalling, an AI module sharpens the diagnosis: which AI initiatives cross which boundaries, is AI treated as a project with an end date or as a permanent design variable, and does your governance slow AI down or make it usable? The advisory then also explains structurally why AI does not land in your organization.

What you receive

A board-level advisory of around ten pages that shows the full chain: which symptoms we saw, where the load piles up, which structural features cause it and which design direction follows from that. With an ordered ranking of the three to five main bottlenecks and the follow-up options. The feedback session with your board is part of the diagnosis, not an option.

Fixed price · clearly scoped · limited load on your people.

Rung 3

The redesign track

“Redesign our work and our organization, so change no longer piles up but lands.”

Together with your teams we redesign how the work is organized, at a pace and scale that fit your organization. We start from the work streams, not the org chart: which streams create value, how do we divide the work between people and AI, where is human judgment indispensable, and which roles and teams belong to that. Decision space moves close to the work; coordination becomes light instead of heavy.

Every track starts from Factter’s coherent working model: structure and culture together, the visible side and the undercurrent. Because a new design only lands when leadership, teams and HR processes move along.

The outcome is not a report that disappears into a drawer, but an organization that absorbs the next change on its own.

Our approach, the working model and the method →

Rung 4

Interim embedding

“We know what needs to change, but we want the capacity to execute in-house.”

Sometimes a redesign takes more than guidance: someone who carries it from the inside. Then Factter embeds the same design lens as line responsibility: an interim mandate with the authority to make the redesign happen, from board table to shop floor.

The difference with classic interim management is what comes with it: not just experience, but a method. Whoever brings Factter in-house brings the diagnosis and design approach in-house, applied in the line.

Design variable

AI, integrated across everything we do

We start from the work and integrate AI and technology from there: which tasks does AI strengthen, where does human judgment make the difference, and which organization keeps that collaboration agile? Where that practice comes from and how it works methodically is on the approach page.

That is why AI runs as a design variable through the entire offer. In the Change Load Diagnosis an AI module sharpens the picture when AI is the trigger. In the redesign track we divide the work between people and AI and design the organization that keeps that agile. And in every application of the working model below, AI has its own emphasis, from HR systems to processes.

AI transformation that stalls is usually a structural problem. And that can be designed.

How AI works as a design variable →

Applications

One working model, five applications

What follows are not separate services. Every track starts from the same working model; depending on where the change load piles up, it gets a different emphasis. The common thread is always the same: workable work, jobs with room to adjust and demands that remain bearable, even when AI changes the work. The deeper elaboration per application is on the underlying pages.

Organization design

Our structure slows us down.

Structure determines how much change load an organization carries. We design around work streams instead of functions: teams that carry a recognizable piece of value from start to finish, with the room to adjust on their own. Change becomes something teams absorb locally, instead of a project that has to travel through the whole organization.

AIa good design lets teams redistribute the work between people and AI themselves, even when the AI capabilities shift again next month.

More about organization design →

Leadership

Our managers are drowning in coordination.

Where structure lets change pile up, managers become pass-through and bottleneck at once. We develop shared leadership that fits the design: giving direction instead of passing things on, leaving decisions where the work is. At Factter, leadership is not a separate program but the mechanism that brings a new design to life.

AIleading work that people and AI do together: making clear what AI may decide, where human judgment remains the norm, and who guards that.

More about shared leadership →

Team development

Our teams are given more autonomy, but don't take it.

At Factter, team development is about two sides of the same team: the team design and the team relations. The design determines whether a team can work: a recognizable assignment, a fitting composition and the room to adjust on its own. The relations determine whether the team actually does: collaborating, deciding together, holding each other to account and continuing to develop. We guide both, in that order: first the design, then the interplay.

AIteams learn to work with AI: handing over tasks, assessing outcomes, and agreeing as a team where the line runs between what AI does and what people do.

More about team development →

HR processes and HR systems (HRIS)

HR should move the organization forward, but our processes and systems hold us back.

HR processes and HR systems help determine how much change load an organization carries: they can support room to adjust, or chase every adjustment through a chain of approvals. Factter guides HR transformation from process to system: from the redesign of HR processes to the selection, implementation and adoption of an HRIS (Human Resources Information System), with experience from more than ten HRIS tracks in the private sector, the public sector and healthcare. An HRIS implementation with us is not an IT project but an organizational question: first the work and the processes, then the system. That way you avoid the well-known pattern of HR digitalization that gets rolled out but not used.

AIAI changes HR's own work, and gives HR a key role in what AI asks of the whole organization: new competencies, AI literacy, learning paths and shifting roles. We take both into every process and system design, so HR leads instead of catching up.

More about HR transformation and HRIS →

Process optimization

Our processes are already optimized, and still things get stuck.

Optimizing processes inside the wrong structure moves the problem around: every improvement stalls at the next departmental boundary. We optimize processes in coherence with the design: flows first, then the steps within them. That way an improvement still stands when the next change comes.

AIautomating within flows instead of loose pieces across departmental boundaries. That way AI strengthens the process instead of the coordination load.

More about process optimization →

Frequently asked questions

The Change Load Diagnosis is a compact, clearly scoped investigation that makes visible where change piles up in an organization and which structural features cause it. The outcome is a compact board-level advisory with an ordered ranking of bottlenecks and a design direction: no scores, but a judgment you can decide on.

Wherever you start: each rung delivers something you can decide on.

Start with five minutes: the self-check →