Digitalisation & AI that drive your business measurably forward.
We digitalise your processes, integrate AI into daily workflows and train your team — so technology is actually used.
From the digitalisation gap to competitive advantage
Most businesses know they need to digitalise — but don't know where to start. We change that.
Which AI applications hold up in small and mid-sized companies, and where AI is not worth it, is shown with examples in our article AI for small businesses: use cases, limits and getting started.
Without a strategy
- Manual processes are slowing growth
- AI potential stays untapped — nobody knows where to begin
- Tools get introduced but never truly adopted
- Competitors are already automating — you're falling behind
With DigifyNow
- Digital processes that are genuinely lived and used
- AI tools in action — from marketing to operations
- A team that understands AI and uses it independently
- Measurable competitive advantage through automation
Why businesses grow faster with us
Practical, execution-oriented and focused on real business impact.
Less manual work
Automation takes over recurring tasks such as transferring data, filing receipts or answering standard enquiries. How much time that frees up for you is something we estimate from your workflows – we do not promise a fixed figure in advance.
Faster processes
Digital workflows accelerate decisions, approvals and customer responses.
Higher efficiency across your entire business
From marketing to sales to operations: we check, department by department, which processes AI can simplify — and tell you where it does not pay off.
Know-how in your own team
We introduce AI where it works in your process and train your staff so they can use and develop the tools themselves.
What we take care of
From analysis through AI integration to ongoing support — everything from a single source.
Process Analysis & Digitalisation Strategy
We analyse your existing workflows, identify inefficiencies and develop a prioritised roadmap for digitalisation.
- As-is analysis of all business processes
- Identification of automation potential
- ROI-based prioritisation
AI Integration into Existing Workflows
We seamlessly integrate AI tools into your daily workflows — for marketing, sales, HR and internal processes.
- AI for recurring tasks
- Automated workflows
- Practical implementation, not theory
Focus areas of Digitalisation & AI Integration
Areas where we unlock the greatest potential for your business.
AI for Marketing & Content
AI-assisted content creation, social media automation and data-driven campaign optimisation.
- AI drafts for posts and newsletters
- Automated publishing
AI in Sales & CRM
Lead scoring, automated follow-ups and AI-based customer analysis in your own CRM.
- Enquiries captured in one place
- Automated follow-up sequences
Process Automation
Eliminate recurring tasks — from invoicing to reporting.
- Recurring steps automated
- Standard cases handled by fixed rules
Digital Accounting & Receipts
AI-based receipt capture, automatic categorisation and seamless accounting integration.
- Automatic receipt capture
- Real-time financial overview
Quotes, Contracts & Documents
Template-based document creation with AI support: the AI fills in the template, you review and approve.
- Intelligent templates
- Digital signatures & approvals
Internal Tool Landscape & Infrastructure
Build the optimal tool stack — integrated, standardised and tailored to your business.
- All tools connected
- Clear process standards
So your team truly understands and uses AI
Hands-on workshops instead of pure theory — tailored for management, departments and teams.
Management
Strategic use of AI — decision-making foundations, ROI and governance.
- AI strategy for your business
- ROI evaluation of AI projects
- Governance & KPIs
- Competitive analysis & opportunities
Departments
AI integration in marketing, sales, HR and operations — hands-on at each employee's own workstation.
- AI in marketing & content
- AI in sales & CRM
- AI for HR & recruiting
- Department-specific use cases
Team Workshops
Direct application in daily work — every team member learns AI on real tasks.
- AI prompting for everyday use
- Automating your own tasks
- Best practices & standards
- Independent continued development
Our Process
5 steps to the digital transformation of your business.
Digitalisation Audit
Analyse existing processes, identify AI potential and quick wins
Strategy & Roadmap
Define prioritised measures, select AI tools, set timeline
Implementation & Automation
Set up tools, integrate AI, automate workflows
Training & Enablement
Train management, departments and teams hands-on — until it sticks
Ongoing Optimisation
Continuously improve, introduce new AI capabilities, provide support
Our Packages
Flexible to your needs — from a digitalisation entry package to premium AI support.
Start
For businesses looking to begin their digitalisation journey
Clear structures, first automations and basic training
- Process audit & quick wins
- Tool setup & AI basics
- Basic training (management + team)
- 1 month support
AI consulting for businesses: what it includes and where it ends
What does AI consulting do for a mid-sized company?
AI consulting clarifies which workflow in your company AI can actually take work off, selects the right tool for it and accompanies the rollout until your team uses it on its own. The result is not a slide deck but a workflow that runs differently than before.
At DigifyNow, consulting and implementation sit in the same team: Jesper Schmidt, Christian Schiebl and Miles Pandel set up AI assistants and automations themselves and train management and staff. Whoever gives the recommendation also implements it.
How is an AI strategy developed?
For us, an AI strategy is a prioritised list of workflows: which comes first, with which tool, with which data and who looks after it afterwards. It is created in the first two of the five steps of our process – digitalisation audit and strategy & roadmap – and is tested on a first workflow before the next one follows. To set the order, we check every workflow against four criteria:
- Frequency: A workflow that occurs daily or weekly justifies the effort more readily than one that happens twice a year.
- Data: AI needs data that already exists digitally; whatever is on paper today gets digitised first.
- Risk: Where a mistake is expensive, for example in quotes or contracts, a person checks the result before it goes out.
- Measurability: It is agreed beforehand how you will see the effect, for example by the time per case.
How to map a workflow before this assessment – step by step, with a template, tools and an example – is described in our article Process Analysis: Definition, Template, Example.
When does AI consulting not pay off?
When the workflow rarely occurs, when the data needed is still on paper, or when a feature of your existing software already solves the problem. In the first case manual work stays cheaper, in the second the workflow needs to be digitised first, and in the third it is enough to set up the feature properly. We tell you this in the free assessment, before any contract is signed.
Frequently Asked Questions about AI Consulting
Honest answers about digitalisation & AI integration.
Do we have to replace all our tools?
Do we need technical knowledge for AI?
How quickly will we see results?
How do you ensure the team actually uses AI?
How do you handle data protection?
What does digitalisation cost?
Do you offer AI consulting throughout Germany?
Can we work independently after the rollout?
Which AI tools do you use?
How long does the rollout take?
Related pages on AI in your business
If you are looking for an assistant that organises emails, appointments and company knowledge: what it takes over and how we set it up is described on the page AI assistant with an Obsidian second brain.
If your team would first like to learn AI on its own, in videos and without prior knowledge: AI coaching step by step.
If your company is based in Berlin: how we advise you there by video from Unnau, and what the format cannot do, is described on the page AI consulting for companies in Berlin.
How an AI agent is built and where it reaches its limits is covered in the article How to Build an AI Agent: Steps and Pitfalls.
If the workflow is clear and the AI is to do the groundwork while your team approves, our approach is described on the page AI automation for companies (German).
Which AI agents hold up in our projects and which phrases give away pure marketing is discussed in our opinion piece AI agents in SMEs 2026: what really works.
In which three areas an AI assistant typically works in an SME – offers, recurring customer questions, internal knowledge – and what its costs are made up of is described in the article Introducing an AI assistant in your company.
If the question is not only AI but which of your processes should become digital at all and with which tool, start with our digitalisation consulting for SMEs (German): mapping processes, weighing the options, a roadmap.
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