009co Consulting Connecting people, processes, data, and technology

Practical improvement, from strategy through adoption

AI Solutions Product Operations Data

009co helps organizations identify, design, and implement practical uses of AI that improve how work gets done.

The focus includes conversational AI, agents and voice systems, document processing and knowledge retrieval, AI-enabled data products and analytics, and workflow automation connected to existing business systems. This work builds on experience in business analysis, business intelligence, product ownership, process improvement, and technology consulting.

Capabilities

How we can help

We start by understanding the business problem and how people, processes, data, and systems interact. We identify opportunities to reduce manual work, improve access to information, support decisions, and coordinate activities across teams and applications. Services span opportunity assessment, process redesign, prototyping, integration, implementation, and team enablement. From an initial concept to an operational solution, the emphasis is on useful improvements, appropriate human oversight, and adoption in everyday work.

AI-enabled solutions

AI-Enabled Solutions

  • AI opportunity assessment: Identify practical GenAI and AI opportunities within products, operations, and business workflows.
  • LLM-enabled applications: Build conversational AI, voice systems, and other applications using commercial and open-source language models.
  • Retrieval-augmented generation: Combine document processing and knowledge retrieval to help people search, ask questions, and use organizational information.
  • 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.
Capability building and adoption

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, solution development, and effective use and review of AI outputs.
  • 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.
Data, analytics, and decision support

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, with AI-assisted exploration and summaries where useful 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.
Data platforms and business intelligence modernization

Data Platforms & BI Modernization

  • Data architecture: Design practical architectures connecting operational data, analytics, and applications, including the data foundations for AI and knowledge retrieval.
  • 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 and operations improvement

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, automation, and AI assistance.
  • 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.
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, custom software, and AI agents through APIs.
  • 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.
Rapid prototyping and MVP development

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, including conversational AI, voice, and document workflows.
  • 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.
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, AI models, platforms, and implementation alternatives against business requirements, data needs, and human oversight.
  • 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.

Case Studies

See the work in practice

Explore 22 anonymized examples of data integration, reporting, workflow automation, and operational improvement. Browse by industry, activity, technology, or capability.

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