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Architecture reviews, scoped builds, and platform support.

Choose a review of an existing system, a build with defined deliverables, or ongoing support. The options below include typical deliverables and pricing ranges.

Ways to work together

Choose the closest starting point. Scope, schedule, and commercial structure are finalized case by case.

Architecture & Workflow Review

Start here when you need to decide what to build, repair, or integrate before committing to implementation.

Planning range
$1,500–$3,000
Typical duration
1–2 weeks

Potential deliverables

  • Discovery and a map of the current workflow or system
  • Architecture review with bottlenecks and failure points
  • Security and reliability considerations
  • Prioritized implementation plan and recommended next steps

Scoped System / Automation Build

Start here when the problem is defined and you need a working application, integration, or automated workflow.

Planning range
$5,000–$25,000+
Typical duration
Defined during scoping

Potential work

  • Applications, APIs, and internal tools
  • Integrations, data pipelines, and AI-enabled workflows
  • Automation and cloud deployment
  • Testing, documentation, and operational handoff

Substantial custom platforms or MVPs often begin around $12,000+, depending on scope. Not every project will fit this planning range.

Ongoing Platform Stewardship

Start here when an existing system needs maintenance, troubleshooting, and a clear owner for incremental improvements.

Planning range
$750–$3,000+/month
Typical duration
Ongoing monthly engagement

Potential scope

  • Hosting, platform support, deployment, and monitoring
  • Dependency and security maintenance
  • Troubleshooting and reliability improvements
  • Incremental feature work and technical stewardship

Planning ranges

Planning ranges are not fixed quotes. We agree on scope and terms case by case; price depends on integrations, data quality, security requirements, urgency, and support needs. Fixed-price, milestone, hourly, and retainer arrangements may be used depending on the project.

Delivery and accountability

We define the deliverables, acceptance criteria, and handoff before implementation. Project pricing reflects the agreed scope, complexity, risk, and delivered capability.

I use AI-assisted development where useful and remain responsible for requirements, architecture, technical decisions, validation, security, testing, and deployment.

Good fit projects

Examples of situations these engagements can address.

A working AI or data prototype needs validation, access controls, deployment, and a review path before a team can use it.
People are moving information between forms, spreadsheets, APIs, and inboxes, and handoffs are getting missed.
An existing application needs maintenance, deployment improvements, or clearer ownership after launch.

How work usually starts

Start with the current workflow, agree on the scope, and define how we will verify the result.

1

Discovery

Start with the workflow, the bottlenecks, the users, and the manual work that is actually costing time or revenue.

2

Design

Map the system, data movement, rules, edge cases, AI/data boundaries if relevant, and handoffs before choosing what gets automated.

3

Build

Implement the workflow, integration, UI, backend, dashboard, assistant, or internal tool needed to make the system usable in real work.

Technical capabilities inside an engagement

A project may need several of these capabilities to deliver the agreed result.

AI Systems Architecture & Integration

A bounded architecture that connects capability, workflow, evaluation, and human handoff.

Retrieval, grounded assistants, APIs, and operational integrations with explicit system boundaries.

Platform & Cloud Architecture

Cloud infrastructure, delivery paths, and ownership boundaries that hold up after launch.

VIFG production delivery on AWS plus enterprise platform and infrastructure experience.

Workflow & Data Orchestration

Reviewable flows that move state and information while keeping decisions and exceptions visible.

DGM-style multi-step orchestration, API integration, queues, persistence, and data pipelines.

Reliability, Security & Evaluation

Explicit access boundaries, validation, tests, observability, and evaluation criteria.

Enterprise security work, production quality gates, and RAGeATM refusal and grounding evaluation.

Operational Software

A deployable system with clear interfaces, delivery ownership, documentation, and a practical path to maintenance.

Applications, dashboards, integrations, and automation designed around the real operating workflow.

See the engineering in context.

View all work

Have an AI, data, platform, or workflow system to improve?

Send the current workflow, constraints, and desired outcome. We can decide whether a focused review, scoped build, or ongoing stewardship is the right fit.

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