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FORWARD DEPLOYED AI ENGINEERING

Bring us a real business problem. We turn it into a production AI system.

Forward Deployed Engineers work directly with your team to understand the workflow, define what success means and drive the system from discovery through production adoption.

Bring us a business problem See how we work
BUSINESSWorkflow · rules · outcomes
FDEVALUE
DELIVERY
ENGINEERINGBuild · verify · operate
WHAT FDE MEANS

Not a handoff. Not an observer. An accountable delivery role.

An FDE combines business discovery, technical judgment and project execution. Instead of receiving a frozen specification, the engineer works close to users, uncovers the actual constraint and keeps the business goal connected to every technical decision.

TRADITIONAL HANDOFF
  • Requirements defined before engineering begins
  • Business and technical teams work sequentially
  • Success measured by delivery completion
FDE DELIVERY
  • Problem and acceptance criteria defined together
  • Business and engineering work as one loop
  • Success measured by usable business outcomes
THE DELIVERY SYSTEM

From field discovery
to operated system.

AI agents accelerate implementation and testing. Independent verification challenges the result. Human engineers approve the decisions that matter.

01

Discover

Observe the real workflow, stakeholders, economics, data and operational constraints.

02

Define

Specify business rules, inputs, permissions, outputs and measurable acceptance criteria.

03

Build

Use specialized engineering agents for architecture, implementation, data and integration.

04

Verify

Use separate agents to review code, validate business logic and test expected behavior.

05

Deploy

Human engineers review critical decisions and approve the production release.

06

Operate

Monitor the live system, support users and improve it against measured outcomes.

MULTI-AGENT ENGINEERING

Different agents do different jobs.

Claude, Codex and specialized agents may contribute to architecture, code, data processing, integration, testing, optimization and documentation. Separate verification work reduces the risk of accepting an implementation simply because it looks plausible.

ENGINEERING
SYSTEM
ARCHITECTURE
IMPLEMENTATION
DATA & INTEGRATION
TESTING
SECURITY REVIEW
INDEPENDENT VERIFY
FDE CAPABILITIES

Five capabilities, one accountable role.

Business insight

Understand industry context, users, economics and the real source of friction.

Technical execution

Turn workflow requirements into an architecture that can be built and operated.

Project delivery

Control scope, sequence work and maintain momentum toward usable outcomes.

Collaboration

Connect customer stakeholders, users, engineers and independent reviewers.

Continuous learning

Learn from production use, exceptions and feedback to improve the system.

EXAMPLE WORKFLOWS

E-commerce shows what
workflow-level AI looks like.

The same method applies across procurement, logistics, finance, cloud operations and other domains with repeated, data-heavy, reviewable work.

01

Competitor intelligence

BEFORE

Manual collection and spreadsheet consolidation

AFTER

Structured collection, comparison and review-ready findings

02

Product and review analysis

BEFORE

Teams read large volumes of listings and reviews

AFTER

Categorized themes, selling points and decision support

03

Operations reporting

BEFORE

Recurring data preparation and report assembly

AFTER

Automated summaries, visual reports and exception review

04

Creator qualification

BEFORE

Manual screening across disconnected channels

AFTER

Criteria-based scoring with human approval

05

Content production

BEFORE

Briefs, scripts and assets created sequentially

AFTER

Agent-assisted drafts with brand and quality review

Market researchProduct selectionContentStore operationsFulfillmentServiceGrowth
PRODUCTION ON AWS

The application is only the beginning.

BlockIoT connects the verified workflow system to the cloud foundation and operating controls it needs after launch.

Explore AWS delivery
  • Compute, networking and deployment architecture
  • Databases, data flows and backups
  • IAM, production controls and security coordination
  • Observability, reliability and cost management
  • Managed operations and continuous improvement
READY FOR PRODUCTION

Bring us one workflow that should work better.

We will help define the problem, evaluate the AI fit and map a practical path to a verified production system.

Bring us a business problem