05.11, WebinarWiz: AI security and visibility in the cloudRegister now (PL)
Services

Forward Deployed Engineering

Our engineers join your team, sit next to the people who do the work and take AI agents all the way to production. One pod, one process at a time, measured against KPIs you agree on before we build.


PartnerAI Services Competency

We are an AWS Premier Tier Partner with AI Services and Data Services Competencies, and a Select tier partner in Anthropic's Claude Partner Network.

Different pilot, same problem

  1. Initial excitement

    The demo answers 9 questions out of 10 on a Tuesday afternoon. Everyone claps and expectations go up.

  2. Process wall

    In the real process the agent meets data nobody owns, approvals stuck in an inbox for three days and no agreement on what "good enough" means.

  3. Quiet abandonment

    Six months later it still lives on somebody's laptop, and the process runs exactly like it did before.

Solution

Redesign the work around agents

Most of a process is waiting for a person, a file or an answer. Our engineers sit with your team, redesign the process and let agents do the work in the background, while people step in for the decisions that matter.

Background agents Back office

Agents run a process end to end, from document intake to booking, and bring only the exceptions to a person for approval.

Assistants in daily tools Team-facing

Agents in your team's daily tools that answer, prepare and check work using your company knowledge, so nobody has to dig for it.

Bring us one process
Services

What your team gets

Process mapping & KPIs

  • OutputProcess map with every handoff
  • AnalysisKPI baseline and targets

We shadow the people doing the work and agree what success means in numbers before we build anything.

Knowledge base & ontology

  • OutputShared vocabulary per domain
  • ArtifactKnowledge base with owners

Agents get the company context they need, and every next process reuses and extends it.

Agents in production

  • OutputAgents in your AWS account
  • ControlsEvals, guardrails, audit trail

Every release has to pass an accuracy threshold your experts agreed to. Below it, nothing goes live.

Enablement & measurement

  • OutputA trained Domain Champion
  • ReportMonthly KPI report

Your champion builds every agent with us, so your team can run and change it after each release.

2-6 people per pod,
sized to your process
1 process per pod
at a time
KPIs agreed before the build,
measured after every release
On repeat finished processes keep running
while the pod moves on

Tools

Where your agents live

Claude - logo
Anthropic + AWS

Claude + Amazon Bedrock AgentCore

Claude powers both sides of the work. Copilots for individual people, and custom agents that run whole processes in the background on Amazon Bedrock AgentCore.

  • Claude Code, Claude Cowork and Claude chat for the people who do the work every day
  • Custom background agents on Amazon Bedrock AgentCore, with identity, memory, tool access and guardrails
  • The same Claude models fuel both, through Amazon Bedrock inside your AWS account
  • Chaos Gears is a Select tier partner in Anthropic's Claude Partner Network
or
Amazon Quick - logo
AWS

Amazon Quick

AWS workspace with agents and automations built in. A good fit when your teams want AI in their daily tools without custom code.

  • Agents and automations without custom code
  • Connectors to the tools your team already uses
  • Fast to roll out for one team, then extend to the next
  • Good fit for AWS-first teams who want agents close to the rest of their AWS setup
  • AWS funding programs (where eligible) can offset initial adoption
The choice depends on the process and on where your people work.
Many engagements use both, and if a mix makes more sense for your process, we'll say so.
How we work

Rapid build, measure, repeat

Every process goes through the same stages, from the first map to production. One pod, one process at a time.

  1. Stage 1

    Map

    Shadowing

    We sit with the people doing the work and map every handoff, approval and workaround.

  2. Stage 2

    Ground

    Knowledge base and ontology

    We connect the agent to your data and build a shared vocabulary with an owner per source.

    Baseline

    We measure the KPIs before we build anything, so the result is a number.

  3. Stage 3

    Build

    Spec first

    Every agent starts as a specification your champion can read and approve.

    Shadow mode

    The agent works next to your team on real cases before it works alone.

  4. Stage 4

    Prove

    Evals against a threshold

    Ground-truth cases from your expert and an accuracy threshold agreed upfront.

    Security review

    Guardrails, least-privilege access, agent identity and an audit trail of every action.

  5. Stage 5

    Release

    Gated release

    If accuracy is below the threshold, it doesn't go live. Monitoring and a runbook ship with it.

  6. Stage 6

    Measure and repeat

    KPI report

    We measure against the baseline and pick the next process together. The previous ones keep running.

Day one

Pod joins your team

Engineers join your standups and your Slack and start shadowing the people who do the work.

You keep

A map of the process, workarounds included

First weeks

Numbers before code

We agree KPIs with a baseline and a target, signed off by your sponsor before the build starts.

You keep

KPIs your sponsor signed off

Release

Agents in production

The agent goes live in your AWS account with evals, guardrails, monitoring and a runbook.

You keep

Agents running in your AWS account

Every month

Measure and repeat

We report against the baseline and pick the next process together. Finished processes keep running.

You keep

A Domain Champion who can change it

Optional add-on

AI-driven development for your developers

If you have developers, we show them how to ship with agentic coding tools in a structured way, with specs first and quality gates on every change.

FAQ

What is Forward Deployed Engineering (FDE)?

Our engineers work inside your team, next to the people who do the work. They map how a process really runs, redesign it around AI agents and take those agents to production. Then they move to the next process, while the previous ones keep running.

How does an FDE engagement with Chaos Gears work?

A pod of 2 to 6 people works with a Domain Champion from your team. Every process goes through four steps (map and ground, build, prove and release, measure and repeat), with KPIs agreed before the build and measured after release. Then the pod picks the next process with you, and the previous ones keep running. Want several processes at once? You run several pods.

How much does it cost?

It depends on how many pods you need and for how long. Most customers start with an AI Assessment or a short discovery, then move to an ongoing engagement billed monthly. AWS funding programs can cover part of the cost - we check eligibility before you sign anything.

Which industries do you work with?

Mostly healthcare, insurance, financial services and manufacturing, plus companies with large contact centers. The industry matters less than the process itself. A good candidate has many handoffs, real data and a business owner who wants it fixed.

What is the final outcome?

AI agents running in production in your AWS account, measured against KPIs you agreed on upfront. On top of that, a knowledge base of your company that keeps growing, and people on your side who can run and change the agents. Typically that means shorter lead times, fewer handoffs and hours freed up from repetitive work.

How is FDE different from AI consulting or rolling out copilots?

Copilots make each person faster, but most of a process is waiting between people. FDE redesigns the process itself, so agents do the work in the background and people step in for the key decisions. Our engineers write production code from the first weeks.

Why do you build on AWS?

Because that's where we're experts. Chaos Gears is an AWS Premier Tier Partner with AI Services and Data Services Competencies, and most of our customers already run on AWS. The tools we pick fit it very well - Amazon Bedrock for models, Amazon Bedrock AgentCore for running agents securely, Amazon Quick for agents in your team's daily tools, and Anthropic Claude as our default model.

We don't use AWS. Can we still work with you?

Yes. Your agents can run on AWS even if the rest of your systems don't - they connect to your existing tools and data wherever those live. If you're new to AWS, we take care of the onboarding too, from account setup and landing zones to security and cost controls (our Cloud team has been doing exactly that for years).

Do you build a knowledge base or ontology as part of the engagement?

Usually yes, because it almost always pays off. Agents are only as good as what they know about your company, so together with your experts we build a shared vocabulary (an ontology) and a knowledge base with an owner per source. Every new process adds to it.

What do you need from us to start?

A sponsor who owns the outcome, a Domain Champion for about 6 hours a week, a security contact, and access to real data and real work in the first week. That last one matters THE most.

Bring us one process that changes hands too often

45 minutes, you and the person who actually does the work. We'll tell you if it's an FDE problem, and if it isn't, where to go instead.