From conversation to process

TAOM™ · Adaptive AI Organization Method

From the spoken sentence to the finished process model.

The spoken process becomes a diagram step by stepOn the left, a person speaks into a microphone. On the right, a small agent places diagram elements one after another on a grid and connects them until a process model emerges.NEW YORK 09:14Sarah is in the modelZÜRICH 15:14Daniela too, the same minuteSpokenWorkshop, phoneWrittenNote, minutes, email, CoworkMeetingTAOM listens and takes notesProcessWAITQualityApplicationapprovedDaniela · Zurichreviews and approvesDaniela · Zurichsets the status in JiraTo Jira & ConfluenceJiraMTAOMEpic · Customer orderStory · Order entryTask · Create inspectionTask · Grant approvalIn progressDoneConfluenceCustomer order to deliveryPhase · Order entryPhase · ProductionPhase · ApprovalSpecifications per WRICEFTraceability · EvidenceStatus: doneTAOM Digital Twinone state – in the model, in Jira, in ConfluenceHuman in the loop
Spoken“Customer orders, inspection, approval …” – the agent listens and builds along.WrittenMinutes, a note, an email – the same source for the same model.In the meetingTAOM sits in the room, takes notes and puts things in order.Quality AgentChecks where evidence is missing – and marks what is still open.Application AgentWrites out the descriptions, in the company’s own language.Daniela, ZurichAdds the approval – the same minute, the same model.HandoverOne click – epic, stories, issues and the page tree are created outside.Worked on outsideDaniela sets the status in Jira. The model is informed.Digital twinOne state – in the model, in Jira, in Confluence. The circle starts again.
One model · two time zones · the same minute

Describe a process in your own words – by text or voice. The TAOM agent automatically turns it into a clean, standard-compliant model: BPMN flow, org chart, process map, RACI matrix or system landscape. Including quality seal, AI transparency in line with the EU AI Act and framework-compliant labelling.

The real problem

One process. Too many separate truths.

After workshops, the duplicate work begins: model, requirements, documentation and implementation are continued in different tools – and drift apart.

Today
1

Model the process

Transfer results from conversations into a model by hand.

2

Transfer tasks

Maintain requirements and issues additionally in Jira.

3

Update documentation

Keep Confluence and functional specifications up to date separately.

4

Coordinate changes

Nobody knows for sure which document shows the current state.

With TAOM
✓

Capture once

Conversation, text or existing model become the shared source.

↔

Use throughout

Process, tasks, knowledge, roles and systems stay linked.

⟳

A return path instead of a one-way street

Status changes from the target system (e.g. Jira) report back to the model and land in the change inbox. In production today.

◎

Work together

Several people on the same model – in the same minute.

How it works

Three steps instead of maintaining three systems by hand.

01

Describe and work together

Tell, dictate or model – the team works on the same model at the same time.

02

The agent structures

BPMN is created, roles, systems and requirements are recognised – every approval stays with people.

03

Connect and keep up to date

Tasks and documentation are created from the model. Changes flow back in a controlled way.

What it brings

The benefit in numbers

< 1 day

instead of three weeks

From workshop minutes to a documented process – with phases, roles and systems.

See features →
1 run

Model → Jira & Confluence

Epic, stories per phase, issues per step and the page tree – generated from one model.

Integrations →
100 %

traceable use of AI

Every content item carries its origin: created by people, AI-generated or AI-modified.

Governance →
1 question

across all models

Where is this role used? Where is a test case missing? Company-wide, not per file.

Attribute directory →
Enough depth for operations

Four proofs instead of a feature list.

Collaboration

On the same diagram at the same time – without merging two versions.

More →

AI agents

Seven specialists for process, knowledge, implementation, quality and systems.

More →

Governance

Origin, approvals, versions and AI transparency – on the element, not beside it.

More →

Digital twin

Processes, roles, systems and evidence as one context instead of many files.

More →
Connected tools

Connected to the tools you already work in.

TAOM does not replace your systems – it connects them and keeps the work together: model, document, execute, communicate, automate and measure.

Signavio / BPMNConfluenceJiraSAP S/4HANAMicrosoft 365 · Teams · OutlookMake.com / n8nLangdockGitHub / dev toolsPower BI
Trust

Secure and traceable

Operated in Switzerland

Data and models are stored on Swiss infrastructure; tenants are kept separate.

EU AI Act in view

AI-generated content is labelled as such – a prerequisite for the transparency obligations.

Provenance seal per content item

Created by people, AI-generated or AI-modified – on the element, not in a log beside it.

Vendor-neutral wording

The agent only names systems if they were mentioned in the conversation – otherwise the text stays neutral.

View the Trust Center →
Target groups

Who is TAOM for?

Five ways into the same platform – each leads to the right page.

SAP transformation / S/4HANA

Capture processes, derive WRICEF objects, generate specifications, create issues in Jira – from the workshop to implementation in one chain.

Learn more →

Regulated industries · GxP, pharma, MedTech

Test relevance, risk, control and test evidence sit on the process step. Who approved is recorded there – and what AI generated is labelled.

Learn more →

IT & process excellence · CoE

One inventory instead of scattered files: search across all models, detect duplicate maintenance, enforce standards.

Learn more →

Freelancers & interim managers

Ready to work immediately without a tool landscape behind you: capture, document, hand over the process – the result stays with the customer, even when the assignment ends.

Learn more →

Consulting partners

Work separated by client, keep models per customer, hand over results – without knowledge getting lost between projects.

Learn more →
FAQ

BPMN, digital twin and the TAOM method – explained briefly.

What is a digital twin for business processes?

A digital twin is a living, versioned image of your business processes. TAOM connects the BPMN model, the organisation, the roles (RACI), the systems and the documentation into one consistent source – every change stays traceable and auditable (GxP-capable).

What are BPMN 2.0 and BPML?

BPMN 2.0 is the worldwide standard for modelling business processes (events, tasks, gateways, lanes). BPML structures processes hierarchically from L0 to L4. TAOM Process Studio creates and maintains both directly in the browser.

How do I create a BPMN diagram from text?

You describe the flow in your own words or by voice. The TAOM AI agent automatically generates a standard-compliant BPMN diagram from it, which you then refine in the editor – no diagramming craft needed.

What is the TAOM method?

TAOM (Adaptive AI Organization Method) is a human-centred, AI-supported method by TRANIVA AG. It connects people, processes, knowledge and tools in a shared coordination layer – neutral, versioned and auditable.

Can TAOM be connected to Jira, Confluence and SAP?

Yes. Process = epic, phase = story, step = task: the sync agent reconciles editor, Jira and Confluence in a controlled way – detected, assessed, critical changes only after approval. SAP application contexts such as S/4HANA and WRICEF are assigned to the process steps.

Do I need to know BPMN?

No. You describe the process in plain language – the agent builds the diagram. Experts refine it afterwards in the editor.

Does it also work without SAP?

Yes. SAP processes are just one use case. Editor and agent are domain-independent – organisational procedures, change management and general business processes work just the same.

What about data protection and AI labelling?

The provenance seal stays signed on the server side, AI labelling follows the EU AI Act and descriptions stay neutral. Operations and data are in Switzerland.

See it on your own process.

In a short live demo we describe one of your processes together – and within minutes you see the finished, documented model.

Open Process Studio
Request a live demo