We help small and large businesses move from scattered files and manual work to AI-augmented operations. Financial models, dashboards, and automations — built on critical thinking, not hype.
Disconnected spreadsheets. Reports nobody trusts. Automations held together with macros. The result isn't a data problem — it's a decision-making problem. We fix that end-to-end.
We don't sell categories. We solve problems. But here's how the work usually breaks down.
Practical applications only. Document processing, forecasting, anomaly detection, internal assistants — deployed where the ROI is obvious.
Budgets, variance analysis, valuation, cash flow, scenario planning. Auditable models for decisions, board meetings, and capital raising — built so your CFO can defend every number.
Power Query pipelines, Python scripts, Power Automate, ERP integrations. We eliminate the weekly grind so your team works on decisions, not data entry.
Every dashboard is built around a specific decision. We start with the question, not the tool. Power BI, Excel, custom web — whatever fits.
Pitch decks, investor narratives, and growth strategies built on the same data and models that run your business. Numbers that match reality, stories that close rounds.
Independent audits of your operations, finances, and digital footprint. Where your money leaks, where competitors are eating your lunch, what to fix first.
We've seen enough 80-slide discovery decks. Here's the whole methodology.
Before anything gets built, we understand the actual business question. Most consulting engagements fail here. We won't.
Documented, version-controlled, auditable systems. Not brittle scripts that only the original author can fix. Your systems outlive us.
Your team owns the output by the time we leave. Training, documentation, and runbooks are deliverables, not afterthoughts.
A sample of engagements across operations, corporate finance, and data infrastructure.
Dakieda Labs was founded out of a simple frustration: most "AI & data" consultants have never had to close a month, defend a budget, or explain a variance to an operations director at 7am.
We bring 10+ years of hands-on operating experience across industrial finance, ERP systems, and data infrastructure — plus working fluency in the AI tooling most consultants only talk about. When we recommend a solution, it's because we've built it and we know how it breaks.
Short, opinionated pieces on data infrastructure, AI in industry, and finance systems.
Why your Copilot license isn't moving the needle, and what actually does: the three layers of automation every mid-market company needs before "AI" means anything.
A parameterized, auditable M-code template for month-end cost reporting. Handles late-arriving data, dimension breaks, and variance calculations without manual intervention.
Most variance reports answer "what happened." The good ones answer "what do we do next." How to restructure your monthly pack for operational decisions.
The short version: the original tool was solving a problem the client didn't have. Here's the audit framework we used to catch it.
No pitch deck. We'll ask about your current data stack, the decisions you're trying to make, and tell you honestly whether we can help.