AI product & automation agency

AI workflows, built by a team you can call.

We turn slow, manual operations into governed production software. A named senior team stays accountable through production.

  • Production Builds from $15k
  • Week 7 or 50% of the deposit back*
  • Custom project IP transferred

*Eligible single-workflow Builds, subject to the client dependencies and milestone written into the SOW.

16
production workflows shipped
Week 7
eligible single-workflow production target
Yours
custom code, prompts, runbooks and project IP we create
US · UAE · EU
delivery across three regions

Teams that ship with us

  • Jaikin logo
  • Azinove logo

The term, defined

What is an AI-native agency?

An AI-native agency is a services firm built around AI from day one — in how work is scoped, priced, produced, and delivered — rather than a traditional agency with AI tools bolted on. Process is software: every step either runs through a system or leaves a trace in one, and senior humans review everything consequential.

The category is emerging because the economics of delivery flipped. AI collapsed the cost of the first 80% of most builds, so hourly billing now punishes the client and rewards the slow. What remains scarce is judgment, integration, and accountability — and a firm has to be rebuilt around software, not staffed hours, to sell those at a fixed price.

It is also, plainly, what you typed into the search bar. We took the name because we are organised around the model — here is what that changes for you, concretely.

What that means here, in practice

  1. A recorded scoping call

    The first meeting is recorded and transcribed. Nothing you explain gets lost, re-asked, or reinterpreted three weeks later.

  2. A written spec within 24 hours

    AI drafts the scope from the call; a senior human corrects, prices, and signs it before it reaches you. Human in the loop, in writing.

  3. Stripe checkout, no invoice ping-pong

    Engagements are fixed-price and paid online like a product — not a quote cycle that takes longer than the discovery itself.

  4. Delivery you can track like an order

    Milestones, demos, and decisions land in the app as they happen. Following your build should feel like tracking a parcel, not chasing a PM.

  5. A four-hour guided setup

    Handover is a working session, not a PDF: a human sits with your team until the workflow runs in your hands.

Where we create leverage

One team for the workflows between your tools.

We do not drop a chatbot on top of broken work. We redesign the process, connect the systems, define the human review path, and own the result in production.

Pl. 01

Sales & RevOps

Qualify demand, enrich accounts, route opportunities, and keep the CRM accurate without another manual queue.

Lead qualification, CRM enrichment, Pipeline reporting.

Explore this expertise

Pl. 02

Marketing & Content

Build governed content and campaign systems where AI creates leverage and senior editors protect the brand.

Content operations, SEO production, Campaign workflows.

Explore this expertise

Pl. 03

Customer Operations

Resolve repetitive requests faster, preserve context across channels, and route low-confidence cases to a human.

Support triage, Customer onboarding, Service operations.

Explore this expertise

Pl. 04

Back-office & Finance

Move documents, approvals, reporting, and internal requests through one observable workflow instead of inboxes.

Document processing, Finance operations, People operations.

Explore this expertise

Pl. 05

Risk & Compliance

Give reviewers source-grounded drafts, confidence gates, and an audit trail for every consequential decision.

Compliance review, Risk triage, Contract operations.

Explore this expertise

Pl. 06

Knowledge & Data

Turn fragmented policies, records, and operational data into cited answers and decision-ready reporting.

Knowledge retrieval, Executive reporting, Data analysis.

Explore this expertise

Selected product & automation work

Built around an operational result.

View all case studies

Healthcare technology · Medical imaging

Live

Swiss teleradiology & medical imaging provider

Cloud PACS + AI imaging platform — zero-footprint DICOM exchange and AI-assisted reporting under Swiss hosting

Referring-site footprint

Zero-footprint DICOM viewer, no install or VPN

Exclusive technology partnership, active since 2025 — build + run, ongoing

Read the case study

Real estate · Property operations

Live

Property management operator · GCC region

Owners-association management SaaS — properties, accounting, residents, governance in one platform

Operational surface

55+ management screens in one SaaS

Q4 2025 → Q1 2026 — ~14 weeks to first production release

Read the case study

Legal services · National marketplace

Live

Government-licensed legal services platform · GCC region

Bilingual legal services marketplace — directory, appointments, legal tools, emergency contacts

Market coverage

Single ministry-licensed national marketplace

Q1 → Q2 2026 — ~16 weeks from kickoff to public launch

Read the case study

Client identities are withheld where agreements require it. Every delivery record describes a real production scope, architecture, timeline, and outcome.

A delivery team in everyday clothes debating a workflow around a table covered in laptops and diagrams

AI-generated illustration — it does not depict current employees. Assigned specialists are named before kickoff.

US · UAE · EU delivery

A named team, not a black box

The right senior specialists around your workflow.

Every engagement has a named lead and a compact delivery pod selected for the workflow. The people who scope the work stay close enough to build it, test it, and answer when production gets complicated.

Product & workflow

Maps the operation, edge cases, owners, and success metric.

AI & software engineering

Builds the workflow, integrations, interfaces, and evaluation layer.

Data & systems

Connects source systems, retrieval, permissions, and observability.

Operations & governance

Designs human review, launch, adoption, and the operating runbook.

Victor Gless-Krumhorn, founder

Founder-led accountability

Victor Gless-Krumhorn · former UBS · Paris Dauphine–PSL

Verify the lead

How delivery works

Fast because the method is explicit.

You see working software early, make decisions on evidence, and know exactly what must be true before the workflow can move without a human.

Delivery feed

Live

Build — customer ops workflowWeek 5 of 7
  1. Scoping callrecorded, transcribed
  2. Spec signedfixed price
  3. Sprint 1 demoapproved Tuesday
  4. Sprint 2 demoin review
  5. Production cutoverscheduled, week 7
Every engagement runs in a live delivery feed — milestones, demos, decisions. You follow your build the way you track an order.
  1. 01

    Map

    We observe the real workflow, systems, exceptions, risks, and KPI before prescribing any model.

    Workflow map, baseline, scope

  2. 02

    Prototype

    A thin slice runs on representative cases early, so feasibility is proved before the full build.

    Working slice, test set, decision

  3. 03

    Build

    We connect the systems, reviewer queues, observability, evals, and failure paths into one product.

    Production software, controls, demos

  4. 04

    Operate

    We launch with your team, measure the result, tune the workflow, and hand over the full operating system.

    Cutover, runbook, code and IP

Governed by design

The happy path is not the production path.

Every workflow ships with evaluation, observability, permissions, and a human escalation route.

Human review gates / labelled evals / audit logs / role-based access / versioned prompts / no vendor lock-in.

In their words

What shipping with us actually looks like.

Verbatim quotes from client retrospectives. Company names are shared once clients approve public attribution — ask for references on the first call.

Founder, AI Pricing SaaS

AI SaaS · DACH region

They shipped the production version of our pricing brain in 6 weeks, including the billing layer and the onboarding flow. We had been bouncing between contractors for 4 months before.

Shipped outcome

From 0 to live SaaS with paying customers in 6 weeks. Production billing live, AI onboarding flow shipped, 2 pricing tiers active.

Founding team, regulated legal marketplace

Government-licensed legal services platform · GCC region

A complete bilingual platform compliant with regulator requirements. Technical quality and delivery speed are outstanding.

Shipped outcome

Ministry-of-Justice-licensed national legal marketplace, EN/AR bilingual, in 16 weeks. Directory + bookings + legal tools + emergency contacts.

CTO, multi-region property operator

Property management operator · GCC region

We replaced spreadsheets and 4 disconnected tools with a single OA platform. 55 screens, 47 tables, a voting platform, and an internal portal — all on the same identity layer.

Shipped outcome

Centralised property operations across multiple owners associations. 14-week first release; 8-week follow-on for the staff portal; 6-week follow-on for e-voting.

3-minute project diagnostic

Start with the workflow, not the AI.

Tell us where work gets stuck. A senior builder will review the context and return with the useful questions, dependencies, and next step.

  1. 01

    Human review

    We read the workflow and constraints.

  2. 02

    Concrete response

    You hear back within one business day.

  3. 03

    Useful next step

    We scope it, redirect it, or say no plainly.

No pitch deck. No automated quote. No mailing list. The person reviewing the brief understands how the workflow would be built.

  1. 01 · Area
  2. 02 · Workflow
  3. 03 · Context

Step 1 of 3

Where should the first win happen?

Choose the operating area closest to the problem.

Choose an operating area

Questions before kickoff

Clear answers, before you commit.

The first conversation is a fit check with a builder — not a qualification script.

01What is an AI-native automation agency?

It is a product and engineering team organized around AI workflows rather than hourly staffing. We redesign the work, build the software and controls, connect it to your systems, and remain accountable for the production outcome.

02Which workflow should we automate first?

Start where volume, repetition, delay, and measurable cost overlap. The strongest first workflow has a clear owner, enough historical examples to evaluate quality, and a human escalation path for uncertain cases.

03How much does an engagement cost?

Discovery is typically $5k–$8k. Production Build engagements start at $15k and are fixed-price once the workflow and integrations are scoped. An optional month-to-month Run phase is quoted separately.

04How quickly does something reach production?

For a single-workflow Build, the contractual target for the first production workflow is week 7. Broader systems are scoped on a longer timeline. If we miss the milestone written into your SOW, the applicable delivery guarantee is triggered.

05Who actually does the work?

Every engagement has a named delivery lead and a compact senior team selected for the workflow: product, engineering, automation, data, and domain expertise as needed. AI accelerates the work; named humans own the architecture, review gates, communication, and shipped result.

06What happens when the AI is uncertain or wrong?

Uncertain outputs route to a reviewer instead of silently shipping. We version prompts, evaluate changes against labelled cases, and log the input, output, model, confidence, and reviewer so errors can be traced and corrected.

Have a workflow in mind?

Show us where the work gets stuck.

A senior builder will review it and reply with the useful questions or a concrete next step within one business day.

Start the 3-minute diagnostic

Senior review, one business day

Discuss your workflow