AI-First Approach

AI Is Not a Feature We Add.
It Is How We Work.

Every InWork engagement — from a single marketing campaign to a full enterprise SaaS platform — starts with AI design. Our AI-first methodology is not a sales talking point. It is our internal operating model, applied to client work.

Definition

What "AI-First" Actually Means

Most companies that say "AI-first" mean they use ChatGPT to write emails. That is not AI-first.

Every project begins with an AI opportunity assessment

Before the spec is written, we ask: where does AI create leverage in this system? Which workflows are automatable now? Which decisions need human-in-the-loop?

AI architecture is designed before code architecture

Which models? Which orchestration layer? Which data structures? Which human-in-the-loop touchpoints? These questions are answered in design, not in code review.

AI is built natively, not bolted on

The data model, API structure, and workflow design all account for AI from the start. We don't add AI to a finished system — we build AI-native systems from the ground up.

Our team uses AI in their own work

Our developers use AI coding assistants. Our marketers use AI content tools. Our QA team uses AI test generation. We're not selling AI transformation while ignoring it ourselves.

Internal Standard

The "Plan Before You Code" Standard

InWork's most impactful internal AI practice is the Plan Before You Code (PBCY) standard. Before writing any code, the developer uses AI to complete four steps.

Result: 35% reduction in rework, consistent architecture across the team, and junior developers producing senior-quality output with AI guidance.

STEP 01

Clarify Requirements

Use AI to identify ambiguities, edge cases, and missing constraints in the task description before any spec is written.

STEP 02

Design the Architecture

Use AI to draft the component design, data flow, and API contract. The architecture is documented before the code editor opens.

STEP 03

Generate the Test Plan

Specify expected inputs/outputs and edge cases before implementation begins. Tests define the contract.

STEP 04

Security Review

Prompt AI to identify security risks in the proposed design: injection vectors, auth gaps, data exposure paths, and OWASP Top 10 hits.

AI Adoption Research

The Four Developer Archetypes

InWork's internal AI adoption research identified five distinct developer archetypes. AI adoption fails when every developer is treated the same way. Our model meets each person where they are.

Result: our 65-person team has an 80%+ active daily AI usage rate.

ArchetypeCharacteristicsAdoption Path

PioneerEarly adopter, self-motivated, experiments freelyLead by example, share learnings

Early AdopterOpen to AI, needs guidance and examplesPair with Pioneer, provide structured tools

PragmatistSkeptical until ROI is provenShow measurable productivity data, low-risk starting points

SkepticActively questions AI valueAddress concerns directly, give autonomy over adoption pace

ResistantOpposes AI on principle1:1 management, address job security concerns, explore role fit

80%+

Active daily AI usage across our 65-person team

We don't sell AI transformation while ignoring it ourselves.

Explore Our AI Transformation Services →

AI-first transformation

Apply Our AI-First Model to Your Business.

30-minute strategy call with our US team. We'll show you exactly where AI creates leverage in your specific workflows.

Integrity. Urgency. Ownership.

Book an AI Strategy Call Explore AI Transformation

40+ US businesses served · 65+ engineers · Zero long-term lock-in

AI Is Not a Feature We Add.It Is How We Work.