Manual retyping and simple decisions are sometimes a lot of work, while advanced AI is out of reach
In many processes, people retype data from documents, classify, and make repetitive decisions. Classic AI requires a data science team that is not on hand.
- Retyping data from documents. Invoices, forms, and orders entered by hand mean time and errors.
- Repetitive classification and assessment. Manually sorting tickets, content, and feedback consumes the team's work.
- Decisions without data support. A lack of simple forecasts, for example of risk or demand, bases decisions on gut feeling.
- Advanced AI out of reach. Models requiring data science and code are too costly for many processes.
- AI detached from applications and processes. Separate AI tools are not plugged in where the work happens.
- AI without data and governance. Solutions built without being grounded in company data and without control create risk and inaccurate results.
One AI layer: in applications, flows, and agents, with no code
AI Builder is a Microsoft Power Platform feature that lets you add AI to applications in Power Apps, processes in Power Automate, and agents in Copilot Studio through a low-code interface, without data science knowledge. You use ready-made models, without collecting and labelling data, or train your own, as well as generative prompts based on language models and your data. Everything runs on Power Platform, on data from Dynamics 365 (Dataverse), under governance and with cost control.
The value comes down to three outcomes:
- Automation of manual work: retyping, classification, and summaries.
- Simple forecasts and data-based decisions.
- AI embedded directly in applications and processes, without a data science team.
This is what sets practical, low-code AI apart from costly research projects.
What AI Builder delivers, in terms of value
Document processing (IDP)
Extracting fields and tables from invoices, forms, and orders, with a confidence score, from ready-made or custom models.
Value:
An end to manual retyping and fewer errors in document processes.
Predictions
Models that predict an outcome from historical data, for example supplier risk, customer churn, or demand.
Value:
Decisions based on data, not on gut feel.
Text classification and analysis
Assigning categories, sentiment analysis, entity and language recognition, and text reading (OCR).
Value:
Automatic sorting and assessment of content, tickets, and feedback.
Image recognition
Object detection and reading of ID documents, business cards, and receipts.
Value:
Automation of tasks based on images and scans.
Generative prompts (AI prompts)
Natural-language instructions on language models and your data: summaries, translations, content generation, ready-made or custom.
Value:
Generative AI in processes, without code.
Embedding and governance
Plugging models into Power Apps, Power Automate, and Copilot Studio, on Dynamics 365 data, with access and cost control in the admin center.
Value:
AI where the work happens, under control and with measurable cost.
What organisations use AI Builder for
For automating document processes, for example invoices and forms in finance and procurement, for classifying and handling tickets, simple forecasts, and embedding generative AI in applications and flows. Everywhere the work is manual and repetitive and a full data science project is unnecessary.
Products that help us drive change
We don't just deploy standalone applications; we implement a cohesive suite of Microsoft solutions - from Dynamics 365 and the Power Platform to advanced analytics and AI - tailored to your specific goals. Everything runs on a unified data foundation, meaning information entered once works across your entire organization, while AI supports your processes exactly where the work happens.
See how we transform tech companies
BBK
BUUK Infrastructure
Eton Shirts
CTDI
Exterion Media
Georg UTZ
WPP
Westfield
TERG
S&P Polska
Saller Polbau
OSTP
Nicols
New Yorker
NCC
Global Advertising Holding
What AI Builder delivers
- An end to manual retyping. Documents processed automatically, instead of retyped field by field.
- Data-based decisions. Simple forecasts plugged directly into processes, not calculated on the side.
- Automatic classification and content handling. Tickets, feedback, and content sort themselves without the team's involvement.
- Generative AI in the processes. Summaries and content are created in the workflow, with no code.
- AI where the work happens. Models and prompts plugged directly into applications and flows.
- Under control and with a measurable cost. Governance, encryption, and a credit-based billing model keep cost and access in check.
Let's see how Dynamics 365 can transform your business
We implement, develop, and maintain Microsoft systems: from finance and operations to data and AI. Let’s start with a free consultation about your current situation.
Why entrust AI in your processes to us
- We specialise in Dynamics 365. We plug AI into ERP processes and data, which we know from the inside.
- Practical AI, not an experiment. We choose applications that genuinely ease the work and pay off quickly.
- Grounded in data and under governance. Models and prompts run on your data, with access and cost control.
- We work in Poland and the United Kingdom. We run local implementations and rollouts spanning multiple countries.
- Proven project delivery, all the way to project recovery. We implement using a methodology based on Success by Design, with risk control, and if needed we take over and recover at-risk projects (project recovery).
FAQs
Do you need to know data science?
No. AI Builder works through a low-code interface. You use ready-made models or train your own without writing code, and we design the use cases and governance.
How does AI Builder differ from Azure AI Document Intelligence?
AI Builder is low-code AI for business makers, plugged into Power Apps and Power Automate. Azure AI Document Intelligence is a pro-code solution with greater flexibility and scale. The choice depends on the complexity and scale of the requirements, and for very large or specific needs we combine both.
How does AI Builder differ from Copilot Studio?
AI Builder adds AI models and prompts to apps and flows, and Copilot Studio is for building agents. AI Builder prompts can also be used within Copilot Studio agents. Both belong to the Power Platform family and have their own pages.
Does the AI run on Dynamics 365 data?
Yes. The models and prompts run on data in Dataverse and other sources, respecting permissions and under governance.
Where do you start with Microsoft AI Builder?
By identifying a manual or document-based process to automate (see: the ‚AI, data and analytics” area), and then by choosing a model or prompt and designing the solution.
Looking for a Microsoft partner? Let's talk about your project
Work with a team that has delivered implementations and projects for dozens of companies. Schedule an introductory call and see:
How to tailor Dynamics 365 to your company's processes, rather than the other way around
Which areas are worth automating to save time and reduce costs
Here is the step-by-step implementation process with Anegis: from analysis to post-launch support
