Service support overview
BPR discussions often begin by defining the To-Be — the future state of operations.
That matters, but we give As-Is — the current state of operations — equal weight.
Where do inefficiencies and rework hide? What data linkages hold operations together, and at which steps do paper, Excel, and Word documents still remain?
We believe that sharpening the resolution of the current state is the true starting point for reform that is both achievable and lasting.
We do more than draw the To-Be picture — we chart the transition path from As-Is to To-Be,
and stay with you all the way to a state where you can keep improving on your own.
Outside-in strength
(Advisory)
Current-state analysis and issue structuring /
To-Be design and transition planning
Inside-out strength
(In-house partnership)
Cross-department consensus building and decision support /
On-the-ground implementation, adoption, and self-reliance
Where both wheels overlap = From understanding the current state to realizing the To-Be, and on to self-reliance — a consistent partnership
End-to-end partnership
As-Is → To-Be → Self-Reliance
We don't stop at concepts. We stay with you consistently from current-state analysis through realizing the To-Be, to adoption and self-reliance, turning recommendations into results that work.
Generative AI use depends on the purpose
Generative AI is a means, not an end. Rather than assuming adoption from the outset, we weigh the return on investment and flexibly decide whether or not to use it. Where we do, we design operating models where AI handles processing and people focus on judgment and oversight.
Implementation in partnership with specialist teams
Where system development, automation, or AI implementation is required, we work with our implementation and engineering teams to support you seamlessly from concept through implementation and operation.
Advisory × In-house partnership
= From understanding the current state to self-reliance,
a consistent partnership
Areas we support
Business reform is not complete simply by declaring a To-Be vision.
Success hinges on connecting six areas — from visualizing the current state to embedding self-driven improvement — under one consistent design philosophy.
Dirbato supports these six areas without gaps, working from both current-state analysis and the envisioned future state.
-
As-Is visualization and current-state analysis
— First, sharpen the resolution of current operations
The success of reform hinges heavily on the accuracy of current-state understanding. We visualize who does what, in what order, from the ground-level perspective, and capture where issues lie in structural terms.
- On-site interviews and visualization of business flows (As-Is)
- Structuring issues and identifying root causes and bottlenecks
- Current-state assessment from both quantitative and qualitative angles
-
Organizing issues, data, and documentation
— Taking stock of realities that tend to be overlooked
This area deserves the same weight as the To-Be. How information is linked, and at which steps paper, Excel, and Word documents still remain — carefully taking stock of these realities leads to grounded, workable design.
- Organizing data linkages and information flows between systems
- Grasping and taking stock of operations that depend on paper, Excel, Word, and similar documents
- Separating business processes into "standard" and "exception" categories
-
To-Be business process design
— Designing a "future state" the frontline can actually run
We go beyond idealism to design a "future state" that the frontline can actually operate. Whether or not to use generative AI is decided flexibly, based on your objectives. Where it is used, our strength lies in going beyond operations where people remain the primary actors, to designing system- and AI-driven operating models where generative AI and AI agents handle the processing and people focus on judgment and oversight.
- Redesigning the future business flow and the division of roles between people and AI
- Eliminating, combining, simplifying, and standardizing operations using ECRS
- Designing operating models built around generative AI and AI agents (people focus on judgment and oversight)
-
As-Is to To-Be transition approach design
— Turning vision into an executable path
Operations don't change simply by declaring a To-Be. We chart a realistic transition path — what to start with and in what order, from the current state to the envisioned future — grounded in return on investment and feasibility.
- Identifying initiatives and estimating ROI to set priorities
- Developing a phased transition roadmap
- Designing the execution structure and promotion plan
-
Execution and adoption (change management)
— Mobilizing the frontline and embedding change
Reform only becomes a result once it is executed and embedded. We involve stakeholders from within the frontline, work through resistance to change, and embed new operations into everyday practice.
- Building cross-departmental consensus and coordinating stakeholders
- Rolling out new operations, training, and preparing manuals
- Monitoring adoption and driving continuous improvement
-
Self-reliance and continuous improvement
— Toward an organization that keeps improving on its own
What we aim for is not a one-time reform. Through our partnership, we transfer the process and capability for you to discover issues yourselves and continue improving.
- Designing and institutionalizing a continuous improvement process
- KPI design and embedding measurement and retrospectives
- Building a self-sufficient operating structure through knowledge transfer
These six areas are not steps to follow in sequence.
Start from an overarching vision, or from a single issue right in front of you.
We set the starting point based on your situation and flexibly rearrange as outcomes and circumstances change.
Support style
No fixed playbook. We start from where you are today,
and carry it through to self-reliance
There is no single right answer for business reform. That's why Dirbato supports you with a flexible stance on whether to use generative AI and where to start,
and a partnership that carries you from current-state analysis through realizing the To-Be to self-reliance, taking responsibility for results.
Flexibility
No fixed playbook for method or phase
We start from purpose.
Generative AI, flexibly, based on purpose
Rather than assuming adoption, we judge whether to use it based on return on investment.
Start from any phase
We can begin at current-state research, To-Be design, or execution — whichever stage you need.
Design tailored to industry characteristics
We design with an understanding of business practices across finance, manufacturing, telecom, retail, the public sector, and more.
From short-term diagnostics to long-term partnership
We flexibly design the depth and duration of our involvement to match your objectives.
Partnership
Partnership that doesn't stop at the drawing board
With you, all the way to self-reliance.
Starting from As-Is
We carefully organize the realities of issues, data linkages, and documentation (paper/Excel/Word).
Design that looks ahead to transition
We flesh out both the approach to realizing the To-Be and the roadmap.
Transfer to self-sufficient operations
We hand things over so you can keep improving on your own.
Implementation in partnership with specialist teams
We provide end-to-end support even where development, automation, or AI implementation is required.
Why clients choose Dirbato
We don't stop at concepts or recommendations. We stay with you consistently — from current-state analysis through realizing the To-Be to embedding self-driven improvement — until results are achieved on the ground.
Thorough current-state understanding, starting from As-Is
We give As-Is the same weight as the To-Be, uncovering the realities of issues, data linkages, and documentation (paper/Excel/Word). This builds the foundation for reform that is both achievable and lasting.
Consistent partnership through To-Be, transition, and self-reliance
We go beyond drawing the future state — accompanying you through the transition path, and on to designing and transferring the mechanisms for you to keep improving on your own.
Flexibility in generative AI use (use it, or don't)
We flexibly support business reform whether it assumes no generative AI use, or assumes AI is central. Where AI is used, our strength lies in designing beyond human-centered operations — to operating models where AI takes the lead and people focus on judgment and oversight.
Broad industry coverage
Drawing on expertise across finance, manufacturing, telecom, retail, the public sector, and more, we propose optimal business reform tailored to your industry and organizational characteristics.