Independent FDE

    Build your competitive advantage.

    Bring AI into the work your business runs on. Independent forward deployed engineering to connect your systems, redesign workflows, and keep agents useful as models evolve.

    ~/transformation/operating-model

    BEFORE / FRAGMENTED

    LIVE MODEL
    idle compute41%
    model routingsingle-vendor
    cache coverage18%
    eval coveragepartial

    $ recommended path instrument cost + quality before adding more agents

    monthly run rate

    $84K

    / month

    idea → production

    12d

    release confidence

    31%

    observe
    prototype
    ship
    learn

    New buyer guide

    Choosing an AI transformation partner?

    Compare ten providers, with Deployed Engineer featured first in our editorial shortlist.

    Read the company guide

    We go deep on

    Cost evaluation+AI infrastructure+Open-source models+AI governance+Cost transparency+Tooling efficiency+Model operations+Production reliability
    Latest /Which AI Transformation Companies Were Growing Fastest in 2025?Sep 30Latest /Top 10 AI Transformation Companies to Consider in 2026Sep 30Latest /Top 10 AI Transformation Companies: A 2025 Retrospective and Industry PlaybookSep 30Latest /Jev for Classification: Six Places to Use It in Real WorkflowsSep 30Latest /Which AI Transformation Companies Were Growing Fastest in 2025?Sep 30Latest /Top 10 AI Transformation Companies to Consider in 2026Sep 30Latest /Top 10 AI Transformation Companies: A 2025 Retrospective and Industry PlaybookSep 30Latest /Jev for Classification: Six Places to Use It in Real WorkflowsSep 30

    THE OPERATING SYSTEM

    Four systems. One path from signal to shipped value.

    This is what transformation actually changes: what teams can see, how work gets routed, what earns release, and how the organization learns.

    01 / VISIBILITYCOST INTELLIGENCE

    Know where value leaks before you optimize.

    Allocate spend by product, workflow, and successful outcome—not just vendor invoices.

    ~/cost-control/opportunity-map
    01 idle capacity41% → 9%
    02 cache coverage18% → 72%
    03 cost / successful task$1.84 → $0.91
    Abstract infrastructure topology

    02 / ARCHITECTURE

    Route each task to the simplest system that succeeds.

    Models, tools, context, and compute become one intentional delivery path.

    Abstract evaluation trace

    03 / EVALUATION

    Release on evidence, not AI vibes.

    quality91%
    safety98%
    latency1.2s

    04 / ADOPTION

    Change the workflow, then make the new way repeatable.

    Clear ownership, embedded coaching, and feedback loops turn prototypes into operating habits.

    01

    discover

    people

    02

    design

    people + AI

    03

    deliver

    agent-assisted

    04

    learn

    continuous

    OPEN A CONVERSATION

    What are you trying to move?

    Bring the constraint: runaway infrastructure spend, an AI initiative stuck in demo mode, or a delivery system that needs an operator inside it.

    01

    Tell me the context

    02

    Name the constraint

    03

    Get a useful reply

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