Turn Data Debt into EBITDA Growth

No Model Training on Your Data

Your proprietary information never leaves your governed perimeter, and it is never used to train public or shared models.

Enterprise-Grade Compliance

We align to Microsoft Purview, Azure security controls, and your data residency requirements so AI agents and automations stay auditable and regulator-ready.

Human-in-the-Loop Agents

AI automates repetitive tasks with domain-expert oversight, approval gates, and review queues so the business stays in control.

SharePoint Governance

Stop content chaos at the source — before AI touches your data. We enforce metadata standards, required fields, access controls, and retention labels so governance is embedded directly into daily workflows. This ensures AI, Copilot, and analytics operate on clean, compliant, and trusted content — not institutional clutter.

Outcome: Reduced compliance risk, faster discovery, and AI-ready information foundations.

Power Automate Cleansing Flows

Remove silent data risk — automatically. We deploy lightweight Power Automate flows to detect duplicates, flag anomalies, and standardize records using native and free connectors wherever possible. No re-platforming. No over-engineering. Just continuous hygiene.

Outcome: More reliable data, fewer reporting discrepancies, and lower manual effort.

Power BI Quick Fixes

Make leadership trust the numbers again. We apply targeted Power Query transformations, Row-Level Security, and real-time alerts to stabilize and harden existing dashboards — without rebuilding models or disrupting users.

Outcome: Faster decisions, fewer reconciliation cycles, and credible executive reporting.

Copilot Enablement & AI Prompting

Make Copilot useful — without creating risk. Instead of generic prompting courses, we deliver hands-on Copilot enablement in the context of your data, workflows, and governance model, with role-specific tips, curated prompt libraries, clear do’s and don’ts for sensitive data, and patterns for repeatable, high-signal usage.

Outcome: Faster adoption, fewer mistakes, and Copilot that actually improves productivity.

Secure AI Knowledge Bots

Focused intelligence — securely scoped. We design role-based AI knowledge bots using Microsoft-native capabilities for compliance and policy checks, HR and legal knowledge, internal service desk, and FAQs, all permissioned, auditable, and aligned to your governance standards.

Outcome: Faster answers, reduced support load, and controlled access to sensitive knowledge.

Azure Free Credits & Low-Risk Pilots

Prove value before committing capital. We leverage Microsoft credits and serverless architectures to run focused pilots that test real business impact at almost no incremental cost, so only proven use cases move forward.

Outcome: Evidence-based scaling instead of hype-driven spend.

Data Products with Contracts

We define explicit data contracts and SLAs for key datasets so teams know what each product guarantees and how it can safely be used.

Continuous Quality & Drift Monitoring

We monitor data quality, schema changes, and model drift and integrate alerts into your existing incident and change-management processes.

Closed-Loop Business Feedback

We build review queues, overrides, and feedback mechanisms so domain experts can correct AI outputs and harden systems against real-world edge cases.

How does DataQubi keep AI inside my Microsoft tenant?

We build exclusively on Microsoft-native services — Fabric, OneLake, Azure Databricks, M365 Copilot, Power Platform, Azure AI Foundry, Power BI, Purview, SharePoint, and Teams. All data, prompts, and outputs stay within your tenant, governed by your existing security and compliance controls.

What results can a CFO expect in the first 90 days?

Most clients see a stabilized reporting layer, fewer reconciliation cycles, and clearer visibility into DSO, working capital, and margin drivers. In many engagements we unlock low‑single‑digit DSO improvements or measurable reductions in manual finance effort within the first 90 days.

Do you replace our existing data platforms?

No. We design a unified analytics foundation that can coexist with current warehouses, marts, or line‑of‑business systems. OneLake and Delta Lake give you an interoperable core without forcing big‑bang migrations or disruptive rip‑and‑replace programs.

Who do you typically work with?

We usually partner with CFOs, COOs, and CDOs or Heads of Data in mid‑market and enterprise organizations that are standardized on Microsoft 365 and Azure and want AI outcomes they can tie directly to EBITDA, cash flow, and operational throughput.

Microsoft-Native by Design

We go deep, not wide: Fabric, Azure Databricks, M365 Copilot, Power Platform, and Azure AI Foundry are the only stack we build on — which means faster, safer delivery inside your tenant.

EBITDA and Cash Flow First

We start from DSO, working capital, margin, and throughput targets, then design AI agents, reports, and workflows that move those numbers — not just generate insights.

Governed AI That Sticks

Data products, Purview governance, and human-in-the-loop review are baked in, so your copilots and automations stay trusted, compliant, and adopted long after the pilot.

Free AI Roadmap

Assess your current Microsoft estate and identify 3–5 high-ROI, tenant-native AI opportunities in 60–90 minutes.

Executive Strategy Session

Align CFO, COO, and technology leaders on architecture, use cases, and measurable business outcomes before any build starts.

Tenant-Native Custom Pilot

Deliver a single named use case (for example, Collections Copilot in Teams) in 6–12 weeks with clear success metrics and a production-ready path.