Real experience. Direct delivery.
No agency layers, no account managers. When you work with DigiDuo, you deal directly with us — from the first conversation to the final handover.
Sandis
I have spent 14+ years inside enterprise IT — owning platforms, designing processes, managing governance programs and working across ITSM, ITAM, and compliance in complex, regulated environments. I recently built an AI-assisted proposal system that cut preparation time by around 5×, redesigned the pre-sales workflow into a single connected pipeline, and automated compliance documentation that previously took 160+ hours per audit cycle.
I design and build AI agent workflows using Claude, OpenAI, Gemini, n8n, Make.com and others — always starting from the business logic, not the technology. My approach: understand the process first, fix the data if needed, then introduce AI where it actually helps.
Baiba
I started my career in accounting and have since moved into business analysis — working across financial reporting, management analytics, and process improvement in a Fintech environment. My day-to-day involves building and maintaining reporting frameworks, improving how data flows between systems, and working with BI developers to turn raw financial data into useful, decision-ready information.
I have been learning & practicing using AI agent and automation tooling to understand how it applies to finance and operational processes — not as a technical specialization, but as practical knowledge that shapes how we design solutions together. I'm the one who asks "will this actually work inside a real finance team?" — and that question changes a lot of what we build.
What We Do
We work at the intersection of business process knowledge and practical AI development. Most people are strong on one side or the other — we cover both.
- Process and data first — we check whether your process is well-defined and your data is good enough before any AI or automation. A lot of projects fail here, and we'd rather say that upfront.
- AI agents — for document processing, communication, classification, or decision support. Built to run reliably, not just to demo well.
- Automation — connecting tools, eliminating manual steps, building reporting pipelines. Often the right answer before AI enters the picture.
- Finance and analytics — reporting structures, BI dashboards, accounting process improvements. Baiba's background means we engage with the financial logic directly.
- Knowledge foundations — structuring your company context, processes, and rules into an organisational knowledge base that every AI system draws from. Build once, improve everything.
How We Approach Problems
We don't arrive with a solution decided. We ask questions, look at your data and tools, and figure out what's actually causing friction — and what AI could make possible that wasn't before.
We'll present a few options: what's quick, what's more robust, what's worth doing first. You choose. We give you our honest recommendation.
We're not tied to any vendor. We recommend what fits — Claude, OpenAI, Gemini, n8n, Make.com, Power BI, and others depending on the situation.
What to Expect
You'll always talk to one of us directly. We document everything and aim to leave you independent. We'll also tell you honestly when something isn't worth doing, when AI isn't the right tool, or when a process problem needs sorting before automation will help.