01
Procurement
RFQs → suppliers → normalized quotes → approval
BUSINESS-FIRST AI ENGINEERING
Turn business problems into production AI systems.
BlockIoT combines Forward Deployed Engineering, AI-native software development, independent verification and production cloud infrastructure to turn real workflows into reliable systems.
Business-First.AI-Native.Production-Ready.
START HEREBusiness
Problem
Problem
FDEDiscover
and Define
and Define
AI-Native
Build
Build
INDEPENDENT VERIFICATION
PRODUCTION SYSTEMAWS · OPENAI · MANAGED AI
BRING US A BUSINESS PROBLEMStart with one workflow
Start with one workflow
that should work better.
You do not need an AI strategy to start. Show us a process that is manual, repetitive, slow, data-heavy or difficult to scale. We will help define the rules and turn it into a working system.
02
Cloud operations
AWS usage → cost analysis → optimization → action
03
Logistics
Shipments → carrier quotes → routing → booking
04
Finance operations
Transactions → reconciliation → exceptions → approval
05
Sales operations
Leads → research → qualification → outreach → CRM
06
Industry workflows
Domain data → business rules → decision → action
Good starting pointsRepeated frequentlyConsumes significant timeUses structured dataHas a reviewable output
AI-NATIVE ENGINEERING SYSTEMHuman defines. AI builds.
Human defines. AI builds.
AI verifies. Human approves.
AI accelerates engineering work, but human engineers remain responsible for critical decisions and production approval.
Discover
Work inside the real workflow and identify the constraint worth solving.
Define
Translate inputs, rules, permissions and success measures into acceptance criteria.
Build
Engineering agents collaborate across architecture, code, data and integration.
Verify
Independent agents challenge the implementation, logic, security and behavior.
INDEPENDENT CHECK
Deploy
Human engineers approve release to production cloud infrastructure.
Operate
Monitor reliability, incidents, usage, controls and cost in production.
Optimize
Improve the system against measured business and operating outcomes.
FORWARD DEPLOYED ENGINEERING
The expert embedded between business and technology.
FDEs work close to the customer’s real operation—not from a frozen requirements document. They understand the workflow, define the right problem and stay accountable through implementation and adoption.
How FDE Engineering worksUnderstand the business
Investigate the real process, economics, edge cases and value opportunity.
Design the system
Connect business rules, data and technical architecture into an executable solution.
Drive adoption
Coordinate customer and engineering teams, documentation, training and rollout.
Improve outcomes
Measure actual use, learn from exceptions and continuously improve the system.
PRODUCTION LAYERBuilt, deployed and operated
Built, deployed and operated
as one system.
Once the workflow is defined and verified, BlockIoT connects it to the infrastructure, controls and operating model required for production.
AI Deployment
Move a verified application into a secure, observable production environment.
Inference Optimization
Improve latency, throughput, GPU utilization and unit economics.
Managed AI
Operate the system with ongoing reliability, security coordination and FinOps.
AI Ecosystem
Connect OpenAI and AWS capabilities to the workflow and production requirements.
AI Advertising
Plan, create, manage, measure, and optimize ecommerce campaigns with AI-assisted workflows, attribution, analytics, and platform integrations.
Advertising capabilityAdvertising AutomationAmazon AttributionConversion TrackingCampaign Analytics
WHY BLOCKIOT
Business context and production discipline belong together.
Customer-value oriented
Success is defined by a reliable business outcome, not by shipping a technical demonstration.
Independent verification
Separate review agents challenge plausible but incorrect AI-generated implementations.
Production ownership
AWS, OpenAI, observability, security coordination and FinOps remain connected after launch.
START WITH THE WORKFLOW
What is one process your team should not be doing manually?
Bring us the workflow, inputs, rules and desired outcome. We will help you determine whether it is a strong fit for an AI-native system.
Bring us a business problem