Maisa Digital Workers take a different approach to traditional automation. Instead of encoding every possible path in advance, they generate and execute code at runtime, adapting to each case as it unfolds.
Most enterprise automation covers the core process well enough. The exceptions are the problem. Judgment calls, documents in unexpected formats, fields that moved since last month, data that contradicts itself across sources. Workflow tools handle predictable sequences, but regulated industries rarely offer predictable sequences. Banking, insurance, trade finance: these run on variance.
We built Digital Workers to handle that variance without requiring months of workflow engineering upfront.
Onboarding a Digital Worker
We think of setup as onboarding a new team member. Take a Digital Worker responsible for loan approvals. Let’s call him Manolo.
You describe the process you do in plain language. What steps you take manually, what counts as a complete application. What policies apply. What the acceptance criteria look like. Where he should be looking… Manolo converts this into executable instructions he can act on. You attach the knowledge he needs: underwriting guidelines, compliance requirements, internal documentation. You connect the systems: your CRM, document storage, credit bureau APIs, core banking. Standard integrations, nothing custom. Manolo then gets access to our KPU, the secure environment where he generates and runs code. Setup done. He can start processing.
A case arrives
A loan application comes in. It routes to Manolo.
He reads the submission and figures out what he has, what’s missing, and what to do first. Maybe that’s extracting income data from uploaded pay stubs. Maybe it’s calling an external API for a credit check. He writes the specific code for that action, not generic code, specific to this submission. The code runs inside the KPU. The output gets checked against the rules you defined during setup. If the pay stub shows income of €45,000 but the application form says €52,000, that discrepancy gets flagged and handled according to your policies. The verified result feeds into the next step. This continues until the process completes. Clean applications resolve fast. Messy ones with missing documents, inconsistent data, or unusual circumstances take more steps as Manolo works through each problem. The output is a decision with full supporting evidence. Every number ties back to a document. Every check is recorded.
The Chain of Work
We call the complete record of a case the Chain of Work.
Each entry shows what the task was, what tools and sources it used, what it returned, what validations happened, and whether they passed. Inputs connect to outputs through explicit steps anyone can follow. This gives you something most AI systems cannot: reproducibility. Same input, same configuration, same output. When an auditor asks why an application was declined, you can show them the exact evidence and the exact rules that produced that decision. No reconstruction. No guesswork. Plenty of systems try to log what they do. The Chain of Work goes further by making the reasoning reproducible, not just falsely recorded.
Running at scale
Digital Workers are not fixed programs. Manolo does not run the same steps for every loan.
Each application gets its own chain of work. Three applications processed simultaneously might look completely different, with different documents, different exceptions, different validation paths, while all following the same policies you defined. This is how you scale without drowning in workflow maintenance. New edge cases get handled at runtime. You do not need someone to anticipate them during design and build another branch. We have seen teams spend months engineering corner cases into workflow graphs before they could go live. Digital Workers skip that phase. They adapt.
The next logical question is “How much will this cost to run”?
Our article “Enterprise Guide to Agentic AI Cost Control” will answer your questions.
Where Digital Workers run
Digital Workers run inside your infrastructure with your security controls. The KPU operates within boundaries you set. Data does not leave your environment unless you configure external calls.
They plug into existing systems through standard connectors. No rip and replace. You keep your core banking platform, your document management, your CRM. Digital Workers sit on top and handle the process layer.
Who this is for
If your automation challenges are mostly stable integrations with predictable inputs, you probably do not need this. Standard workflow tools handle that fine.
If your processes involve documents, exceptions, judgment calls, and compliance requirements like loan origination, claims processing, KYC, or trade finance, that is where Digital Workers make the difference. They handle variance without requiring you to model every possible path in advance.
Watch the animated explainer above!
Frequently Asked Questions
How do Maisa Digital Workers work?
Maisa Digital Workers generate and execute case-specific code at runtime – not following pre-built workflow paths. When a task arrives, the worker reads the submission, determines what’s needed, writes specific code, runs it in the KPU, validates outputs against your rules, and adapts step by step until the process completes.
How do you set up a Maisa Digital Worker?
Setup works like onboarding a new colleague: describe the process in plain language, define policies and acceptance criteria, attach relevant knowledge (guidelines, compliance rules), and connect your systems via standard integrations. No custom development is required. The Digital Worker converts this into executable instructions and begins processing immediately.
What is the Chain of Work in Maisa?
The Chain of Work is Maisa’s complete audit trail for every automated case. It records each task, tools and data sources used, outputs produced, and validations performed – linking inputs to outputs through explicit, reproducible steps. Auditors can see exactly what evidence and rules produced each decision, without reconstruction or guesswork.
Can Maisa Digital Workers handle exceptions and edge cases?
Yes. Because Digital Workers generate new code at runtime for each case, they handle novel exceptions without pre-built branches or manual intervention. Complex cases with missing documents or inconsistent data are processed through additional adaptive steps – edge cases are resolved dynamically, not anticipated upfront.
Who should use Maisa Digital Workers?
Maisa is ideal for processes involving documents, exceptions, judgment calls, and compliance requirements – such as loan origination, claims processing, KYC, and trade finance. If your automation challenges involve mostly stable integrations with predictable inputs, standard workflow tools may be sufficient.