Digital workers with unconsulting and MR.KNOW: upload a job description and get an initial AI-based assessment of your potential.
In 5 steps to your digital colleague.
Upload a job ad or paste a URL.
AI checks tasks, workflows and automation potential – including a BPMN preview.
Digital worker as Assistant, Agent or Worker.
Seamless integration into ERP, CRM, HR – cloud or on-premise.
Monitoring, governance and ongoing optimisation.
Each can be introduced on its own – and grown step by step into a digital team.
Logistics is under double pressure: skilled staff are scarce – while the load of recurring checking, documentation and communication work keeps growing. Digital workers take on exactly those parts: process-safe, auditable and around the clock.
Dispatch, customs clearance and customer service are demanding roles and hard to fill. Routine work ties up experienced staff who are needed more urgently elsewhere.
Digital workers take over precisely these recurring parts – around the clock and without fluctuations in quality.
Individual scripts and workflows solve partial tasks – but not the end-to-end process with decision logic, escalation and human approvals.
A digital worker is a modelled process: it recognises the situation, decides based on rules, executes, produces documents and escalates to a human where needed.
Customs audits, ISO audits (9001/14001/45001) and the due-diligence obligations large clients pass on contractually all require evidence – year after year.
Documented and versioned processes, a prompt vault and interchangeable models keep every decision verifiable. Transparent AI becomes a selling point instead of an obstacle.
Most of the effort goes into a reusable base: data connectivity, extraction, rule and document engine, validation and completeness logic.
It is built once – every further digital worker is largely configuration, and therefore costs a fraction of the first one.
The platform does not compete with ERP, TMS or customs systems – it integrates them. Event-driven cases such as critical delays run via an event repository (EPCIS/GS1), analytics and a rules engine.
That protects your investment, regardless of how individual vendors evolve.
Illustrative example: 14–20 automatable hours per site and month, 70 % automation rate, €60 fully loaded cost per hour – in the order of €10,000 per site and year.
On top of that: fewer errors, shorter lead times and scaling without additional headcount. Often the saved working time alone exceeds the running cost of the solution.
unconsulting is Philipp Holtgreve's consultancy for logistics and digitalisation. In many logistics companies a jungle of processes, ambiguity and day-to-day business sits between goals and delivery – unconsulting creates clarity, stronger competitiveness, growth and scalable structures.
Digital business and product ideas, projects and transformations are validated, optimised and delivered – from the preparatory analysis of processes, systems and organisations through to implementation, roll-out and market entry. “Consulting with commitment” means responsibility and risk are shared.
Together with MR.KNOW, this logistics process expertise meets a no-code BPM platform with AI. Technology and domain knowledge combine into a finished digital worker – rather than yet another toolbox.
The essentials about digital workers and the potential analysis.
A digital worker is neither a chatbot nor a single script, but a modelled process: it recognises a situation, decides based on rules, executes, produces documents and escalates to a human where needed. MR.KNOW distinguishes three levels — Digital Assistant (rule-based on BPMN 2.0), Digital Agent (AI-powered, also handles unstructured data) and Digital Worker (autonomous AI orchestration across system boundaries).
You upload a job description, job ad or specification sheet as a PDF, or enter the text directly. Tasks, workflows and the achievable degree of automation are analysed; you receive the assessment by email, usually within a few minutes. The analysis is free and without obligation.
A phased approach has proven itself: a compact discovery workshop, from it a working pilot for one concrete use case, then the rollout to further sites or tenants. The first productive use case takes weeks rather than months, because it builds on a platform that already exists.
The benefit is twofold: manual effort drops, and so do error rates and lead times. What decides the business case is reuse — most of the effort goes once into the base of data connectivity, extraction and the rule and document engine. Every further digital worker is largely configuration and therefore costs a fraction of the first one.
Processes are documented and versioned, prompts are managed in a vault, and the AI models are interchangeable — there is no vendor lock-in. Operation is GDPR-compliant and multi-tenant, either as a highly secure SaaS cloud or on-premise in your own data centre. Decisions therefore remain verifiable, which is an advantage in audited environments.
No. The BPMN 2.0 orchestration sits above your existing systems and integrates ERP, CRM, HR systems or specialist applications via open standards, APIs and connectors instead of competing with them. That protects existing investments, regardless of how individual vendors evolve.
No. Digital workers take on the recurring routine share that ties up experienced staff — around the clock and without fluctuations in quality. They close gaps caused by the skills shortage rather than cutting jobs.
unconsulting contributes process expertise in logistics and the delivery at the customer; MR.KNOW contributes the no-code BPM platform, the digital workers and their operation. Technology and domain knowledge combine into a finished solution rather than yet another toolbox.
