Who We Are

Real experience. Direct delivery.

No account managers, no handoffs to junior staff. You talk to the person who builds it - from the first call to the final handover.

Sandis

Co-founder & Technical Lead

More than fifteen years in enterprise IT - platform ownership, process design, compliance programmes across global organisations. For the last few years, I've been building AI systems: knowledge bases, agent workflows, automation pipelines.

I work with Claude, Codex, Cursor, n8n, Make.com, OpenAI, Gemini, Python - whatever fits the problem. The tooling comes after the business logic and the data quality.

  • AI Agent Development
  • Workflow Automation
  • Knowledge Base Architecture
  • Context Engineering
  • Copilot · OpenAI · Claude · Gemini · Codex · Cursor
  • ISO 9001 & ISO 27001
  • Product & Platform Ownership
  • Process Architecture

Baiba

Finance processes, analytics and automation

More than 10 years in accounting and finance analytics - accounting processes, financial reporting and automation. She now leads AI adoption for finance teams: Claude and Claude Cowork training, Power BI analytics, and AI in day-to-day finance work.

Driven by a consistent question - "Can this accounting or finance task be automated to run faster with equal or better quality?" - this role helps shape a large share of DigiDuo's solutions. At DigiDuo, the focus is on identifying improvements in clients' accounting, finance, and analytics processes, then selecting the most efficient path to improve reporting speed and quality through AI or better use of existing systems.

  • Business & Financial Analysis
  • Power BI & Power Query
  • Management Reporting
  • Process Design & Improvement
  • Finance Operations
  • ERP Systems
  • Data Automation
  • Accounting
01

What We Do

DigiDuo combines business process expertise with practical AI delivery.

Solutions are built from your real company context - services, pricing, documents, and past work - not generic AI output.

  • Process and data first - process clarity and data readiness are checked before automation begins.
  • Cross-functional finance and IT depth - combining finance and technical expertise to solve process bottlenecks across the company, not only for a few specific tasks.
  • Shared knowledge where needed - when useful, company rules and context are structured once so connected workflows improve together.
02

How We Approach Problems

No pre-set solution is pushed.

First, time loss and bottlenecks are identified across your current process, data, and tools. Then a few clear options are presented:

  • Quick wins
  • Stronger long-term setup
  • Recommended first step

Tool choice stays vendor-neutral and fit-for-purpose.

03

What to Expect

You work directly with the delivery team. Everything is documented so your team stays independent. Any client-facing or published AI draft is reviewed by a person before use.

You will also be told clearly when:

  • AI is not the right tool
  • A process issue should be fixed first
  • A requested build is not worth doing

Want to talk?

Start with a conversation about your situation.

Get in touch →