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Applied by Exemplar

8–12 week AI Strategy Partner

8–12 weeks · AI Strategy Partner

Applied by ExemplarEnable enterprise AI strategy at scale

Enterprise AI strategy has three jobs: help teams adopt useful AI quickly, make dangerous execution hard, and keep material actions attributable and interruptible.

We enable companies to build agents for production — in 8–12 weeks, with AI engineers in your environment, across the full lifecycle from framework and model through evals and governance.

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Enterprise AI strategy has three jobs

We enable all three

Help teams adopt useful AI quickly

Right framework, right model, first production agents in marketing, retail, fintech, healthcare, and insurance — on a clock we set together.

Make dangerous execution hard

Policy before bash, path, deploy, or data access. Evals on the path to production. The risky action does not run by default.

Keep material actions attributable and interruptible

Who did what, with which agent, and a way to stop it. Audit that security can read. A human in the loop when the action matters.

Enablement across the AI lifecycle

We start at the choices that lock in everything else — then your teams can keep going at scale.

  1. 01

    Framework

    Choose the runtime that fits the job — LangGraph, CrewAI, ADK, or custom. The framework is a deliberate decision, made for this workload.

  2. 02

    Model

    Pick and route models for quality, latency, and cost. Enablement includes why this model, and when to change it.

  3. 03

    Evals

    Regression gates on the path to production. Prompt and skill changes don't ship on hope — your team learns to run the suite.

  4. 04

    Governance

    Policy before execution, budgets, and an audit trail. Controls your team will actually operate after we go.

Built in the businesses you already run

AI engineers from Applied by Exemplar work inside your live environment and enable production agents on the paths that matter, so the pattern can move across the enterprise.

Industries

MarketingRetailFintechHealthcareInsurance

Where strategy has to land

CursorClaude CodeMCP serversGitHubCI / CDProduction APIs

What we actually do

Production agents in your environment — on an 8–12 week clock. A software factory harness when that is how you ship.

Build agents for production

AI engineers ship real workflows with your team in marketing, retail, fintech, healthcare, or insurance. Then a playbook the next team can repeat.

Set a strategy the org can run

Direction, owners, and success criteria that survive the first team, so AI strategy runs across the org.

Enable the stack you already have

Framework, model, tools, and identity in your environment. Agents run on what the company approved.

Put governance in front of execution

Allow, ask, or deny before bash, path, deploy, or data access. Evals and an audit trail your security team can operate.

Software factory harness

When the work is shipping software at volume: configurable autonomy for engineering and product — how much the agent can do alone, and when a human has to decide. One path at a time.

How the program runs

8–12 weeks. Timeboxed. Built to scale past the first team.

  1. Step 1

    Scope

    Which agents, which framework, which model, which actions are actually risky. A path the org can reuse for the next team too.

  2. Step 2

    Enable

    Framework, model, evals, and governance in place for the first production path. Your team runs it with us.

  3. Step 3

    Production

    Governed executions with evals and audit. Fix what breaks. Repeat until the path is boring.

  4. Step 4

    Scale

    Handoff with a playbook. The 8–12 weeks end when the next team can follow the same lifecycle without us.

What you leave with

  • Production agents your team runs, day in and day out

  • Teams adopting useful AI on a clock

  • Dangerous execution hard by default — framework, model, evals, and governance your teams operate

  • Material actions attributable and interruptible

  • A playbook the next team in marketing, retail, fintech, healthcare, or insurance can repeat

We enable enterprise AI strategy

We enable companies to build agents for production. Adopt useful AI quickly. Make dangerous execution hard. Keep material actions attributable and interruptible.

Book a working session