cravings

AI enablement, end to end

The go-to partner for getting your business AI-ready.

Cravings is an AI enablement consultancy. We audit where you are, map where you can win, and build the agents and systems that get you there — and when you want agents to deliver the work itself, not just assist it, we build the AI-native service and can run it against an SLA. Either way, your team owns it in the end.

Get an AI readiness assessment How we work

Trusted on the stacks our clients already run.

Why Cravings

AI consulting that ends in production, not a deck.

Most AI advisory work stops at the roadmap. We are the team you keep on board for the part that comes after — building the system, training the people who will operate it, and measuring what it actually changed.

  • 01

    We start with readiness, not features.

    Before we write a prompt, we audit your data, your stack, your team, and your operating model. The first deliverable is an honest read of what is buildable now and what is not.

  • 02

    We ship, then we stay.

    Every engagement ends in production code, not slides. Then we keep operating alongside your team until your on-call rotation is comfortable owning it.

  • 03

    We enable, we do not lock in.

    Training, runbooks, evals your team can extend, and a quarterly review cadence. When we leave, your team owns the system end-to-end.

A bigger prize than software

When you want agents to do the job, not just assist it.

Spend on services dwarfs spend on software, and much of it is already outsourced — a process with inputs, a quality bar, and someone who signs it off. That is the shape an agent can take over. We build AI-native service operations that deliver the work itself, priced on the outcome and backed by an SLA, in the verticals where the work is high-volume, rules-heavy, and painful to staff.

  • Insurance broking & servicing

    Quote intake, submission packaging, renewals, endorsements — the servicing work that scales with headcount today.

  • Accounting, tax & audit

    Bookkeeping, reconciliations, and month-end close as a service that grows by adding clients, not bookkeepers.

    See the close rebuild →

  • Compliance

    KYC/AML onboarding review and alert triage — explainable, audit-ready, with humans on the judgement calls.

    See the KYC build →

  • Healthcare administration

    Prior authorisation, eligibility, and claims — agents prepare the work, licensed staff make the clinical decisions.

    See the prior-auth build →

How AI-native service builds work

End-to-end AI agents

A complete workflow for the AI agents your business actually needs.

Most agencies ship a prompt. We ship the whole pipeline — from the first domain conversation through routed model traffic, integration with your CRM, ERP, ad stack, and finance systems, to the on-call rotation that owns it after we leave.

  1. 01

    Domain map

    Workshop your operations, your data, and your systems of record. Decide which decisions an agent should make, which it should advise on, and which it should never touch.

  2. 02

    Eval-first design

    Write down what "good" looks like before any prompt is written. Golden cases, adversarial cases, a rubric your domain experts agreed on in the same room.

  3. 03

    Agent build

    Routed pipeline — cheap fast model for the easy 80%, larger model gated by confidence, deterministic rules for anything regulated. Tracing from the first commit, evals on every deploy.

  4. 04

    System wiring

    Real integration with the systems your team actually runs — Salesforce-style CRMs, enterprise ERPs, ad platforms, marketing suites, finance close tools. Custom fields included, audit trails preserved.

  5. 05

    Production launch

    Shadow mode first, then a canary, then a queue at a time behind feature flags. We do not flip the big switch — we shrink the rollback radius.

  6. 06

    Operate & enable

    Runbook, drift monitoring, quarterly eval reviews, and your team trained on every layer. By the time we step back, the system is properly someone else’s.

Scope an agent build

What we do

From AI ambition to AI in production.

Six practices for the AI work itself — including building the service when you want agents to do the job, not assist it — and three for the systems and people around it. One accountable team for all of it.

How we work

Four moves from AI ambition to AI in production.

  1. 01

    Readiness

    A two-week diagnostic across your data, stack, team, and operating model. You leave with a written read on what is buildable now and a costed plan for the rest — whether you continue with us or not.

  2. 02

    Prototype

    Two to four weeks of focused build. We ship a working slice — a real agent, a real workflow, real data — that you can put in front of users and decide on.

  3. 03

    Productionise

    Hardening, observability, evals, security review, and handover docs. We sit alongside your engineers until the on-call rotation is comfortable owning it.

  4. 04

    Enable

    Training, runbooks, and a quarterly review cadence. The system keeps working — and keeps improving — once we are gone.

Selected work

AI shipped, not slideware.

All case studies →

What clients say

We had spent six months chasing AI vendors. Cravings ran a two-week readiness audit, pointed us at the one project that mattered, then shipped it. The agent has been in production for nine months without a wobble.

VP of Engineering Mid-market SaaS, EU

Insights

Notes from the build.

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