FastTechnology ServicesStart a project
Independent AI engineering studio

AI that moveswork forward.

Fast Technology Services builds useful AI applications for customer experiences, manufacturing operations, and warehouse teams.

Bring us the bottleneck See project examples
01 / ObserveWhere does the work slow down?
Useful
AI
03 / ImproveFaster decisions. Clearer action.
CONTEXT / WORKFLOW / EVALUATION / VALUE
Start with the workDesign for adoptionMeasure what mattersKeep costs visible
What we do

Small team.
Sharp delivery.

Senior, direct collaboration from first workshop to a working product. No hand-off maze, no oversized transformation program.

01

AI applications

Focused tools that help teams decide, find, plan, and respond faster — built around a real workflow, not an AI demo.

Discovery · Prototypes · Production delivery
02

RAG & knowledge

Reliable answers across manuals, procedures, product data, and internal know-how, with sources people can verify.

Knowledge design · Retrieval · Evaluation
03

Prompt engineering

Clear instructions, safeguards, and testing systems that make AI output more useful and consistent in daily work.

Prompt systems · Guardrails · Quality testing
04

Cost optimization

Practical changes to model choice, context, caching, and workflow design that reduce spend without reducing value.

Usage review · Architecture · Monitoring
Where we focus

Domain-aware AI for the moments that affect service, output, and flow.

01
Customer-facing AI

Give customers a faster path to a useful answer.

Product advisors, support assistants, intake tools, and guided self-service experiences designed to feel direct and trustworthy.

  • Guide complex choices
  • Resolve repetitive questions
  • Capture better customer context
02
Smart manufacturing

Turn operational knowledge into daily action.

Make procedures, shift notes, quality records, and machine information easier to use at the point where decisions happen.

  • Find procedures quickly
  • Support root-cause work
  • Preserve operator knowledge
03
Warehouse management

Reduce friction between the plan and the floor.

Practical assistants for inventory questions, exception handling, picking support, and clearer handovers across warehouse teams.

  • Handle exceptions sooner
  • Improve task guidance
  • Surface inventory context
A practical route

From bottleneck
to working system.

  1. 01Frame

    Choose one valuable workflow and define what better looks like.

  2. 02Prove

    Test the data, experience, quality, and economics with real users.

  3. 03Build

    Connect the product to the tools and controls around the work.

  4. 04Improve

    Track use, quality, and cost so the system gets stronger over time.

Representative work

Project patterns

View all examples
Customer experience01
Example engagement

Customer service answer workspace

A source-backed assistant that helps service teams resolve technical product questions without searching across disconnected manuals and notes.

Smart manufacturing02
Example engagement

Production knowledge assistant

An operator-facing tool for finding procedures, troubleshooting steps, and shift knowledge at the moment a production issue appears.

Warehouse operations03
Example engagement

Warehouse exception desk

A guided workspace that brings order, shipment, inventory, and procedure context together for faster exception handling.

Field notes

Clear thinking
about applied AI.

Read the journal
01
RAG · 5 min read

Build the retrieval system before you polish the chatbox

02
Cost optimization · 6 min read

AI cost is a product decision, not a model setting

03
Warehouse · 5 min read

Where AI earns its place in warehouse operations

Start with the problem

What should
work better?

Share the bottleneck, decision, or customer moment you want to improve. You’ll get a direct response with a sensible next step.

Taking on focused AI projects