AI CAPABILITIES
Build. Govern. Operate.
We help organizations build, govern, and operate AI that ships — and stays governed once it's live.
With decades of experience in IT and Engineering services, we bring deep expertise in bringing AI to companies, from first pilot to full-scale, governed production.
AI READINESS ROADMAP
Let's Talk About Your AI Readiness Roadmap
Tell us the stage you are in and the use case you keep coming back to. We will walk the roadmap with you and map out the use cases, the governance, and the team it takes to reach the next stage.
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Years in Business
Founded in May 2000, serving enterprise and public sector clients.
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Consultants Placed
Across IT and Engineering since 2000.
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Markets Nationwide
A national footprint with local delivery in every market.
Enablement
Role-specific starter packets and stage-gated rollout waves so adoption lands with the people who do the work.
Delivery
A gated agent factory that carries your portfolio of agents from idea to production on a measured cadence.
Governance
Governance shipped as working software: a live backlog and operating framework that keeps agents accountable.
Reporting
See what your AI actually costs and returns — dashboards built and tested like software, reconciled to source.
Advisory
From readiness to funded roadmap: real AI opportunities scored, prioritized, and sequenced for your business.
AI Ops
Drift, cost, and performance visibility across the agent estate, plus evidence-first triage when agents misbehave.
AI Readiness Assessment
Answer four quick questions to find out where your organization stands on the AI Readiness Roadmap — and what to do next.
Your phase
Recommended next steps:
Want help building this out?
Talk to Brooksource about turning this roadmap into a plan.
Talk to an advisorModel 01
Discovery — AI Blueprint
Clarity before you commit
A paid, fixed-scope deep dive that maps your highest-value AI opportunities, the data path for each, and a prioritized roadmap: the decision artifact before you commit to build.
Model 02
Delivery Pods
Outcomes owned, not just hours
A small team — business SME, process engineer, and AI engineer — owns an outcome and carries a portfolio of agents on a measured cadence.
Model 03
Staff Augmentation
Specific skills, your team
Named AI roles scoped to your milestones, from reporting engineers to LLM engineers, with convert-to-FTE paths built in.
Model 04
Fractional Advisory
Leadership when you need it
A senior AI leader embedded part-time, up to product ownership of your flagship AI product, with a named transfer date to in-house.
Gen AI · Fortune 50 Retailer
Transforming Event Management With Generative AI
A Fortune 50 home improvement retailer set out to optimize the IT event management system supporting its Google Cloud Platform estate. Brooksource built a context-aware conversational system on Gemini and Vertex AI, acting as a Virtual IT Assistant that turns raw event data into actionable intelligence and serves as first response for ticket resolution.
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Architected a scalable, secure foundation on GCP
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Deployed a retrieval-augmented (RAG) component to filter, rank, and surface the most pertinent event information
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Enabled natural language querying for IT teams
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Established dashboards and alerts in GCP for performance, latency, and user feedback loops
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Saved per team, per day
Based on 20 tickets a day at 15 minutes each, using automated responses
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Average response time
Through Vertex AI optimizations and load balancing
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Daily ticket volume addressed
Baseline volume at 15 minutes per ticket for mid-level employees
Gen AI · Fortune 500 Financial Services
Gen AI Audit Application
The client's Audit and Technology teams lacked Gen AI expertise to streamline a manual audit lifecycle. Brooksource targeted audit planning as the pilot, specifically the 10 to 15 day process of an auditor manually gathering information and creating a Risk and Controls Matrix, and built an AI-powered application integrated with the client's legacy systems.
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Modernized legacy systems to connect existing services with AI models
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Generated risks, controls, and test procedures for human review
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Built for scale with load balancing and disaster recovery across the enterprise
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Process improvement and ad-hoc decommission requests
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Estimated savings per audit
Reducing a 10 to 15 day process toward a 10 to 15 hour goal
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Estimated savings annually
Across the client's audit lifecycle
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Rated Good or Great
AI-generated RACMs, scored by the Audit team on reasonableness, methodology, and formatting
Applied AI · Engineering
AI-Powered Geotechnical Data Extraction
A leading engineering firm used our AI-powered extraction platform to convert thousands of legacy boring logs into structured, searchable geotechnical data. For a firm with 10,000+ historical boring logs, at 30 to 60 minutes of manual transcription each, the result was faster project starts and a repeatable process for unlocking historical subsurface data.
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Two-phase pipeline: intelligent document processing, then vision-language model extraction
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Format agnostic across scanned documents, digital PDFs, and mixed-quality inputs
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Deployable on-premises, air-gapped, or in the client's own cloud tenant
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Full traceability from source PDF to extracted data
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Page classification accuracy
Pilot target met
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Report grouping accuracy
Pilot target met
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Processing speed per page
Pilot target met. Field extraction F1 score is in progress against a 90% target