Build the right thing
BRKD helps organizations identify where AI, automation, and better software can create real leverage, then turns the strongest opportunities into working systems.
We start by understanding how your business actually operates: the people, processes, software, data, and handoffs already in place.
The AI Workflow Audit
Talk about an audit- Duration
- Two weeks
- Price
- $5,000
- Ends with
- A roadmap
A focused two-week engagement to understand how work gets done, identify the highest-value opportunities, assess feasibility and risk, and leave you with a clear implementation roadmap.
What it helps you decide
- Whether AI is worth applying at all
- Which work to change first, and what it's worth
- What to build, what to buy, and what to leave alone
- What's realistic to put into production, and what isn't
What you get
- Workflow and bottleneck map
- AI / automation opportunity assessment
- Feasibility and risk analysis
- Quick wins vs. larger bets
- Prioritized implementation roadmap
- Clear recommendation on what to build next
How the audit runs
- Stakeholder and operator interviews
- Workflow and handoff mapping
- Repetitive-work and bottleneck analysis
- AI / automation suitability assessment
- Data and integration considerations
- Risk and human-review requirements
- Quick-win identification
Start with the work, not the technology
Most organizations don't need another AI brainstorm. They need to know where AI is worth applying, what should stay conventional software or human work, and what's realistic to put into production.
From uncertainty to production
- 01
Understand
We learn how the organization operates: who does the work, where information moves, what takes too long, and where people are compensating for weak systems.
- 02
Prioritize
We rank opportunities by business value, feasibility, risk, and the quality of the underlying data and process.
- 03
Build
We stay on to design, integrate, and build the system with your team.
- 04
Own
Production systems live in your environment, under your accounts and controls. We build with you rather than creating unnecessary vendor lock‑in.
We're most useful when the problem is real but the solution isn't obvious yet
- Scattered workflows
- Critical workflows span spreadsheets, email, internal software, manual handoffs, and institutional knowledge — like this one
- Repetitive work
- Your team is doing repetitive work that feels automatable, but nobody has had time to redesign it.
- Stalled AI experiments
- You've experimented with AI tools, but nothing important has made it into production.
- No capacity to build
- You've got a useful internal-tool idea but not enough engineering capacity to build it.
- People filling the gaps
- Your existing software works, but important gaps are still being filled by people doing tedious coordination.
- Business and technical judgment
- You need someone who can move between the business problem, product decisions, architecture, and implementation.
When there's something worth building, we can build it
Some audits end with a roadmap your existing team can execute. Others uncover a system we should help build.
For ongoing work, we reserve senior delivery capacity around a prioritized roadmap and one primary implementation workstream. The engagement is designed around outcomes and momentum rather than a bank of billable hours.
We can work independently or alongside an internal engineering, operations, product, or leadership team.
Products we've put into the world
BRKD's delivery model isn't theoretical. We use the same approach to design, launch, and operate our own software products and internal systems.
Accountability is the part we don't automate
We combine senior product and engineering judgment with a supervised system of specialized AI agents across research, design, engineering, testing, and operations.
Orchestration is the expertise.
Select a discipline to read how that work gets done.
- Research
- Prior art, constraints, and the shape of the problem, gathered before anything is built.
- Design
- Interfaces, data models, and the structure of the system, decided deliberately.
- Engineering
- The build itself: code, integrations, and the tests that keep them honest.
- Testing
- Outputs are reviewed and tested before anything ships, never accepted on assertion.
- Operations
- Deploys, monitoring, and the day-to-day running of what we put into production.
Built by Eric Brookfield
Eric Brookfield is a software and engineering leader with nearly two decades of experience building production systems and leading technical teams.
His work spans product engineering, internal business systems, data pipelines, integrations, customer-facing software, and software used in regulated environments. He brings that experience to organizations trying to turn AI from an interesting experiment into useful operational infrastructure.
Based in Baltimore, Maryland. Working locally and remotely.
A few operating principles
Build what matters. Leave the client stronger than we found them.
- Solve the business problem before choosing the technology.
- Use AI where it actually helps; use conventional software where it's the better answer.
- Build systems people can understand and operate.
- Keep production ownership with the client.
- Prefer a working, maintainable system over an impressive demo.
- Diagnosis comes before scale.
You know the work could be better. You just don't know what to build yet.
That's exactly where the AI Workflow Audit starts.
AI Workflow Audit · $5,000 · Two weeks
No pitch deck required. A short conversation is enough to tell whether there's a useful problem here.
Thanks. Eric will follow up directly. Prefer email? Write to eric@brkdllc.com.
Something went wrong. Please email eric@brkdllc.com directly.