Centralize
Tasks, documents, customer data, tickets, files, calendars, and internal services converge in one place.
Vision: AI First Company
The center that thinks with you
We are evolving SODEFA AI into the place where tasks, services, and data converge: a system that understands context, plans work, steers workflows, and relieves people wherever routine can become machine work.
All data, services, and tasks in one place
Automated, recurring, and self-planning workflows
Consulting and implementation from first-hand practice
Our bigger vision
AI becomes the operating layer for company work
In the near future the leverage is not another chat window. The leverage is a central layer that connects data, people, tools, and decisions and continuously shapes better workflows from them.
Aggregate and learn
The system condenses company signals, detects patterns, and makes knowledge findable instead of leaving it in silos.
Plan and steer
Goals turn into next steps, responsibilities, deadlines, dependencies, and transparent decision support.
Act automatically
Recurring workflows run as independently as possible with clear rules, approvals, and logs.
System picture
A company operating layer instead of isolated AI islands
The target picture is a living layer above existing systems: it takes in signals, orders context, plans work, and returns results in a controlled way.
Inputs
Documents, knowledge, contracts, meeting notes
CRM, ERP, HR, finance, project and ticket data
Email, calendar, chat, files, specialist tools
Goals, deadlines, roles, approvals
SODEFA AI
Context, memory, planning
SODEFA AI condenses information into an operational situation picture and decides which task needs knowledge, approval, automation, or human judgment.
Outputs
Answers with sources and decision drafts
Planned tasks, checks, and escalations
Automated steps in connected services
Reports, learning loops, and new process proposals
Feedback loop
Every execution improves the context: what works, what blocks progress, what repeats, and which workflow should be standardized next?
SODEFA today
SODEFA AI is our own path toward an AI First Company
We intentionally describe this as a development path, not a finished end state. Today, SODEFA AI is already the shared workspace where company knowledge, project context, and operational workflows come together.
Today
Bundling company knowledge
Chats, sources, project data, and internal documentation become centrally usable so answers are not only fast, but traceable.
Today
Agents work alongside us
Agents research, structure, write, review, and prepare decisions. They are not a gimmick; they are part of real work.
In progress
Workflows become self-planning
Recurring tasks should not only be triggered, but independently plan goals, checks, escalations, and next steps.
Principle
Transparency stays mandatory
Where systems participate in work, they need sources, roles, boundaries, logs, and human approvals at the right points.
Clear USP
Not just a chat app that connects everything
A chat interface is only the entry point. The real value appears when the system understands the state of the company, actively contributes, and can responsibly own entire process chains.
Operational context
Self-aware in the operational sense: the system knows relevant data, open tasks, dependencies, approvals, and risks.
Process ownership
It handles not only isolated prompts, but connected task chains from research to handover.
Self-observation
Open loops, missing information, and recurring patterns become visible, prioritized, and scheduled again.
Autonomy with limits
Routine roles can gradually disappear when tasks are clearly rule-based, measurable, and responsibly governed.
For other companies
We advise from implementation experience, not theory
SODEFA helps companies follow the same path in a controlled way: from target picture through data and system architecture to productive automation in daily work.
Target picture and process map
Which tasks should work differently, which roles change, and where does automation really pay off?
Data and system architecture
We clarify sources, interfaces, permissions, hosting, model choice, and the governance that makes the system viable.
Prototype to production system
Instead of long concepts, we build small usable systems, test them in daily work, and expand them deliberately.
Operations and automation
We support rollout, training, monitoring, and recurring workflows that take on more responsibility step by step.
Process map
From first picture to process ownership
We do not start with maximum automation. We map the process, make risks visible, and only let AI take on more responsibility once rules, data, and approvals are solid.
01
Make the status quo visible
Tasks, media breaks, owners, and repetitions are mapped together into one process view.
Process mapPain points
02
Plan the operating layer
We define data sources, roles, rights, model choice, approvals, and first agent interfaces.
ArchitectureGovernance
03
Build the pilot
A limited workflow is implemented close to production, measured, and tested with real users.
MVPKPIs
04
Own the process
The workflow gets checks, escalations, monitoring, and can increasingly steer recurring work itself.
AutomationOperations
Lower-risk entry
Understand first, then automate
For SMEs in particular, our INQA offer is a pragmatic starting point: funded process and organizational development before larger AI or software investments are locked in.
Current-state analysis of processes, tools, and digital potential
Participatory start with clear prioritization
A strong first step when AI is strategically important, but scope, budget, or risk are still unclear