AI Workflow Automation and AI Agents
AI workflow automation applies AI agents and automated workflows to the repetitive steps inside your business processes, such as reading supplier invoices, routing approvals, chasing exceptions and assembling reports, and wires the result into Business Central and the other systems you already run.
We start from the process, not the model. The question that matters is which specific task costs you hours every week and follows rules clear enough to be automated reliably.
We are deliberately not tied to one platform or one model. The right answer for a high volume document pipeline is rarely the right answer for an internal question answering agent, and committing to a favourite tool before understanding the job is how automation projects end up as expensive demos.
What AI Workflow Automation includes
Document processing
Supplier invoices, purchase orders, delivery notes and remittances read, validated against expected values and posted, with anything ambiguous escalated to a person.
Approval routing
Requests routed by amount, department and policy, with reminders and escalation, so approvals stop living in someone's inbox.
Exception handling
Automated chasing of the mismatches that currently consume finance and operations time, such as price variances and short deliveries.
AI agents
Agents that answer questions against your own data, draft routine correspondence and prepare recurring reports, with guardrails on what they may access and act upon.
Business Central integration
Automations that read and write through supported Business Central APIs, so automated activity is auditable in the same way manual activity is.
Human in the loop design
Every automation has a defined confidence threshold and an escalation path. Automation that quietly guesses is worse than no automation at all.
Certified for ai workflow automation
The Microsoft certifications our team holds for this work.
AI-900Azure AI FundamentalsFundamentals
AI-102Azure AI Engineer AssociateAssociate- PL-500Power Automate RPA Developer AssociateAssociate
- PL-400Power Platform Developer AssociateAssociate
How the engagement runs
Find the candidates
We look for tasks with high volume, clear rules and expensive exceptions, and rule out the ones that only demo well.
Quantify
Each candidate is sized by time spent and error cost, so the business case exists before the build does.
Pilot
One process, instrumented, run alongside the manual process until the numbers justify switching over.
Roll out
Expand to adjacent processes, with monitoring and a clear escalation route for low confidence cases.
What you end up with
Manual steps removed from processes that run every day
Exceptions surfaced early instead of discovered at month end
Automated activity auditable alongside manual activity
A measured business case rather than a demo
Who this is for
Finance teams drowning in invoice entry, operations teams chasing the same exceptions every week, and businesses that want AI applied to a specific measurable bottleneck rather than adopted in principle.
AI Workflow Automation questions
Related services
Book a free consultation
Thirty minutes with a senior engineer, not a salesperson. Bring the system you are stuck on and you will leave with a written summary of your options and a rough scope, whether or not you go on to work with ForgeSolutionz.
Schedule now