Practical improvement, from strategy through adoption

Product Operations Data AI Solutions

Improve how your organization works by connecting people, processes, data, and technology.

009co helps organizations understand complex operational problems, improve processes and decision-making, and design practical digital, data, analytics, and AI-enabled solutions. From strategy and requirements through prototypes, implementation, and adoption, the focus is on delivering useful improvements quickly and building from there.

Capabilities

How we can help

Reporting and data problems are often symptoms of deeper issues in processes, systems, workflows, decision-making, and operating structure. We start with the underlying problem, then bring together the right business and technical capabilities to solve it.

Product & Operations Improvement

Operational assessment: Understand workflows, systems, information flows, bottlenecks, and recurring problems.
Process improvement: Simplify fragmented, manual, or inefficient processes and identify opportunities for better tools and automation.
Product & capability development: Turn business problems into requirements, prioritized capabilities, roadmaps, and practical solutions.
Operating visibility: Define the measures, reporting, and analytical capabilities needed to understand performance and make better decisions.

AI-Enabled Solutions

AI opportunity assessment: Identify practical GenAI and AI opportunities within products, operations, and business workflows.
LLM-enabled applications: Build applications and features using commercial and open-source language models.
Retrieval-augmented generation: Connect organizational documents and data to LLM applications for contextual search, Q&A, and knowledge access.
AI workflows & agents: Use AI, APIs, and software automation to assist multi-step business activities with appropriate human oversight.
AI prototyping: Test promising concepts quickly before committing to larger implementations.

Rapid Prototyping & MVP Development

Concept to working prototype: Turn ideas and requirements into usable web, mobile, data, or AI prototypes.
MVP development: Build functional applications for internal validation, stakeholder demonstrations, or early user testing.
Full-stack implementation: Develop front ends, APIs, data models, databases, authentication, and application infrastructure.
Iterative product development: Learn from real users and progressively improve the solution.

Data, Analytics & Decision Support

Business & data analysis: Explore operational, financial, and other business data to identify patterns, problems, and opportunities.
KPI & performance measurement: Define meaningful measures and connect them to operational and organizational objectives.
Reporting & dashboards: Develop Power BI, web-based, and custom analytical applications for decision support.
Data visualization: Communicate complex information through effective interactive and analytical visualizations.
Analytical models: Support forecasting, scenarios, planning, and better decisions where appropriate.

Process automation and systems integration

Process Automation & Systems Integration

Workflow automation: Replace repetitive, manual, and error-prone activities with practical automated processes.
API integration: Connect SaaS platforms, enterprise applications, databases, and custom software.
Microsoft 365 automation: Integrate Outlook, Calendar, OneDrive, and other Microsoft services through Microsoft Graph and Azure.
Data & application integration: Move information reliably between operational systems, analytical platforms, and applications.
Human + AI workflows: Introduce AI selectively while retaining appropriate human review and control.

Data platforms and business intelligence modernization

Data Platforms & BI Modernization

Data architecture: Design practical architectures connecting operational data, analytics, and applications.
Data integration & ETL/ELT: Acquire, clean, transform, and integrate data from databases, APIs, files, and cloud services.
Data modeling: Develop analytical, operational, and application data models suited to business requirements.
Data quality & governance foundations: Establish practical ownership, standards, controls, and improvement processes for trusted data.
Cloud data platforms: Implement and improve SQL databases, warehouses, lakehouses, and related cloud data services.
Microsoft Fabric & Power BI: Design data, reporting, and analytics capabilities using the Microsoft analytics ecosystem.

Product, technology, and solution advisory

Product, Technology & Solution Advisory

Problem & requirements discovery: Translate ambiguous operational and technical problems into clear requirements and priorities.
Solution selection: Evaluate software, platforms, and implementation alternatives against actual business requirements.
Technology roadmaps: Define practical, phased approaches instead of unnecessarily large transformation programs.
Product ownership & delivery support: Bridge business stakeholders, developers, data teams, and technology providers.
Vendor & team support: Assist with solution evaluation, technical partners, recruiting, onboarding, and delivery coordination.

Capability Building & Adoption

Team enablement: Help internal teams become effective users and owners of new analytical and digital capabilities.
Training & mentoring: Provide practical training in analytics, reporting, data tools, and solution development.
Processes & ways of working: Introduce backlog management, prioritization, documentation, and stakeholder engagement practices.
Solution adoption: Work with business users throughout development so new capabilities become part of everyday operations.
Capability roadmaps: Plan for progressively expanding internal product, data, analytics, and technology capabilities.

Product | Operations | Data | AI Solutions