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Services

AI systems built around work that must improve.

Build a product, redesign a workflow, connect company knowledge, modernize an existing platform, or prepare an AI system for production. Every engagement defines the operating outcome, evidence, boundaries, and ownership before implementation.

01 / CAPABILITIES

Six ways to turn operating friction into working systems.

Each capability is shown as a system, not a service label. The visual model makes the data, action, product, and control layer easier to understand before a call.

CONTROLLED AGENT LOOP LIVE MODEL
System 01Build and operate

AI Agents & Copilots

AI systems that research, decide, and act inside controlled business workflows.

Built with

LangChainLangGraphCrewAIMCP
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CROSS-SYSTEM FLOW LIVE MODEL
System 02Build and operate

Enterprise Workflow Automation

Connect people, software, and AI across workflows the business can operate.

Built with

n8nWebhooksCeleryRedis
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OWNED PRODUCT LAYER LIVE MODEL
System 03Build and operate

AI Product & SaaS Development

From validated workflow to an owned, deployable software product.

Built with

Next.jsFastAPIStripePostgres
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PERMISSIONED RETRIEVAL LIVE MODEL
System 04Build and operate

Enterprise Knowledge & RAG Systems

Turn approved company knowledge into useful answers, analysis, and actions.

Built with

Hybrid retrievalRerankingVector searchOpenAI / Anthropic
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MODERNIZATION MAP LIVE MODEL
System 05Build and operate

AI Strategy, Architecture & Modernization

Choose the right AI opportunity and build a realistic route from pilot to operation.

Built with

Workflow analysisSystem architectureAI evaluationCost modeling
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PRODUCTION CONTROL LIVE MODEL
monitored
System 06Assurance

AI Reliability, Governance & Security

Make AI behavior, data access, and production operation easier to trust and govern.

Built with

AI evaluationsAccess controlsPlaywrightObservability
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04 / DELIVERY COMMITMENTS

Five commitments, visible from scope to handoff.

The commercial model, review rhythm, ownership, and production standard are clear before engineering begins.

01

100%

Code, repository, and product IP handed to you

02

Fixed Scope

Written deliverables and exclusions before the build starts

03

Frequent Demos

Working software reviewed throughout delivery

04

Production

Deployment, tests, documentation, and operating handoff

05

Global

Async-first delivery for teams across time zones

06 / ENGAGEMENTS

Engagement models. Scope before promises.

Choose a bounded starting point, define how progress will be measured, and expand only when the evidence supports it.

Recommended starting point
MODERNIZATION MAP LIVE MODEL

Discovery and strategy

AI Opportunity & Workflow Blueprint

01

Begin with a $300 Starter for one workflow and up to two systems. Multi-team or enterprise discovery is a separate, larger scope.

  • A current-workflow map with the bottleneck, owner, exceptions, and unverified baseline recorded.
  • A comparison of up to three options: improve the process, automate it, or test AI.
  • A proposed system sketch, human-review boundaries, and unresolved integration questions.
  • A first-step scope, draft acceptance checklist, exclusions, and a build, experiment, defer, or no-build recommendation.

Commercial model

$300 USD Starter / larger scopes quoted separately

View Blueprint scope
PRODUCTION CONTROL LIVE MODEL
monitored

Validated implementation

Production AI Pilot

02

Best for teams that need evidence from one real workflow before committing to a broader rollout.

  • One bounded workflow connected to representative data and tools
  • Evaluation set covering quality, exceptions, latency, and cost
  • Human approval, fallback behavior, and operating visibility
  • Production recommendation based on measured pilot evidence

Commercial model

Fixed pilot scope

Discuss a pilot
CROSS-SYSTEM FLOW LIVE MODEL

Workflow transformation

Enterprise Automation Rollout

03

Best for organizations connecting AI and automation across multiple teams, systems, or operating steps.

  • Phased workflow and integration delivery
  • Permissions, approvals, retries, monitoring, and safe replay
  • Owner dashboards, runbooks, and adoption handoff
  • Outcome, quality, cost, and exception-rate measurement

Commercial model

Fixed scope or phased delivery

Discuss a rollout
OWNED PRODUCT LAYER LIVE MODEL

Milestone delivery

AI Product Engineering

04

Best for startups and business units building a customer-facing AI product or owned internal software platform.

  • Product workflow, architecture, integrations, and AI behavior
  • Frequent working-software reviews
  • Automated product and AI evaluation coverage
  • Deployment, observability, documentation, and repository handoff

Commercial model

Milestone-based project

Discuss a product
[ Ready when you are ]

Bring the workflow, product, or operating constraint.

We will identify whether the useful starting point is an opportunity blueprint, a production pilot, a phased automation rollout, or a product build.