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Service · AI Enablement

Frontier AI, wired into how you actually work.

KreativeHub rolls out frontier AI tools like Claude, ChatGPT and Codex across medium and enterprise teams, then builds the custom skills, plugins and connectors that wire them into your customer relationship management (CRM), your documents and your stack. The result is AI that answers from your reality and does real daily work, not a trial nobody opens.

demand-index.livesnapshot
+78%Y/Y client growth
3.4×Median ROAS · paid
98%Retention · cumulative
−34%CPL · B2B engagements
LIVE

Measured in pipeline, not pageviews. Senior operators only. Five clients per quarter, capped on purpose.

— studio note
Frame · Notes

The demo always impresses. The rollout is where teams stall

Claude, ChatGPT and Codex are strong out of the box, and that is exactly the trap. A generic prompt gets a generic answer, the novelty fades, and three months later the licences sit unused. The model never saw your data, so it never became part of anyone's day.

The teams getting a real return have done the unglamorous work. They built skills that follow their tone of voice, connected the models to the systems where the work lives, and trained their people to reach for AI by default. That is the difference between a chatbot people try once and AI integration that quietly removes hours every week.

We do that work. We pick the right frontier tools for your tasks, wire them into your CRM, your wiki, your ticketing and your data warehouse, and put guardrails around it so your security team can sign it off. Then we measure usage, because adoption you cannot see is adoption you will lose. This is the fastest route to a return, and where most engagements with our AI Enablement consultancy should start. Begin with a free AI audit.

Frame · Manifesto · 3 positions
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How we wire it in

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Custom skills that speak your language

We package your tone of voice, brand rules and repeated workflows into reusable skills your team invokes like commands. It is the same Claude or ChatGPT everyone else uses, but it drafts in your voice, follows your playbook, and stops producing the bland output that gives generic AI a bad name. People reach for it because it saves them time, not because a policy told them to.

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Plugins and connectors to your systems

A model is only as useful as the data it can see. We build the integrations into Salesforce, HubSpot, Notion, Slack, your wiki and your data warehouse, so the model answers from your customers and your documents rather than its training set. This is the AI integration work that turns a clever assistant into something that actually knows your business.

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Secure by default

Enterprise single sign-on, audit logs, prompt-injection guards and data residency controls come as standard. Frontier providers offer zero-retention tiers and enterprise agreements that keep your data out of training; we configure those before any data flows and validate the setup with your security and legal teams. You roll out fast without handing anything to a model you do not control.

Frame · Capabilities · 6 pillars
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What frontier adoption includes

Frontier AI tools, configured for your business and your data.

See how adoption fits our full AI Enablement work
  • 01

    Custom skills and personas

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    Internal API plugins

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    Retrieval over your docs

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    Single sign-on and audit logging

  • 05

    Prompt library management

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    Usage and adoption analytics

Frame · Method · 4-phase flow
// a repeatable rhythm

How we run a frontier rollout

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01. Discover

We sit with your team and map how the work actually happens: where hours leak into repetitive tasks, which systems hold the data, and where AI returns real money. You leave this stage with a shortlist of use cases ranked by payback, not a wishlist.

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02. Configure

We build the skills, plugins and connectors, and stand up the access controls and security tiers your team needs. By the end the model can read your CRM and docs, draft in your voice, and run inside the agreements your legal team has signed.

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03. Pilot

One team uses it daily for two weeks. We watch real usage, fix what gets in the way, and sharpen the skills against the prompts people actually type. This is where a tidy demo turns into something colleagues recommend to each other.

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04. Scale

We roll out across the wider business with playbooks, hands-on training and adoption metrics. You see who is using what, where the time savings land, and which workflows to build next, so the capability compounds instead of fading.

Frame · FAQ · 7 questions
// honest answers

Frontier AI adoption, answered

Every question we get asked on first calls. Answered in writing — decide before you book.

No. We make the tools you already pay for actually useful. We work with your existing Claude, ChatGPT and Codex licences, build the skills and connectors that wire them into your systems, and tune them around how your team works. You get more from the seats you have, not another bill for a parallel tool.
Claude, ChatGPT, Gemini and Codex, among others. We are not tied to a single vendor, so we match the model to the task: one might draft your customer-facing copy, another might handle code, a third might power retrieval over your documents. We pick based on quality, cost and your data requirements, then wire the right tool into the right workflow.
Frontier providers offer zero-retention tiers and enterprise agreements that exclude your data from training, and we configure those by default. We add single sign-on, audit logs and prompt-injection guards, then validate the whole setup with your security team before any data flows. For the most sensitive workloads we recommend a private deployment on your own infrastructure instead.
A focused frontier rollout for one team usually takes 2 to 4 weeks from discovery to a working pilot. Wider scale-out across the business runs alongside training over the following weeks. We commit to a timeline and the use cases we will build in the audit, before you commit to us, so there are no open-ended hours.
AI integration is the work of connecting a frontier model to the data and tools where your work already happens. In practice that means building plugins to your internal APIs, connectors to your CRM and documents, and retrieval so the model can read your own knowledge base. Without it, the model only knows its training data; with it, the model answers from your business.
Adoption is the part most rollouts get wrong, so we design for it. We build skills around real tasks, run a two-week pilot with one team, train people hands-on, and report usage against a baseline every month. If a tool is not being used, we see it in the numbers and fix the cause rather than assume the launch worked.
Frontier adoption uses hosted models like Claude and ChatGPT, configured and connected to your systems, and it is the fastest, lowest-cost way to get value. Private AI deployment runs open-source models on your own infrastructure for regulated, sensitive or high-volume work. Most teams start with frontier adoption and add private deployment later for the workloads that need it.
Send the studio a brief
Frame · Apply · new file
apply · q2-2603/05 open
Three slots remain · Q2 ’26

Put frontier AI to real work

Tell us where your team loses hours to repetitive work, and we will run a free AI audit, then show you the highest-return tools to roll out and the skills and connectors worth building first. Senior team, full transparency, no fixed packages.

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AI Integration Services | KreativeHub