From business requirements to software that works.
Improve an existing system, connect disconnected tools or build something new. Kewl designs the process, builds the system and helps your people adopt it — so the implementation supports the work, not the other way around.
Start with the work, not the software. We map the current process, clarify the problem and define what success looks like before anyone builds anything.
Make CRM part of how your team works. We configure it around the people and processes it supports, with data, workflows, reporting and adoption planned as one.
Automate with purpose and keep people in control. Rules for predictable work, AI where it adds value, and a defined answer for what each workflow can do.
Build what the business needs. When configuration is not enough, we develop applications and extensions in short cycles with review and testing.
Connect the systems, protect the context. We move information between CRM, finance, operations and legacy systems so it stops being re-entered by hand.
Make go-live the beginning of value. We help your people learn the system and your organization support it, then keep improving it as needs change.
A new platform, an integration and an AI workflow need different technical work — not different standards of care. The same team carries scope, governance and adoption through every stage.
Understand the work before choosing the solution. Align on goals, map real workflows and identify the gaps holding your team back.
Draw the blueprint before anything is built. Define the process, user experience, data, integrations and measures of success.
Build in manageable increments. Configure, code and test against real scenarios, with regular feedback from the people who will use it.
Launch with people and operations ready. Validate data, train users, confirm ownership and support the transition into live work.
The work does not stop at go-live. Everyday delivery — fixes, changes and small improvements — runs alongside regular reviews of adoption, reliability and performance.
Your team and Kewl, at every stage
The stages give structure, not a rigid handoff. What you learn running the system feeds the next round of discovery, and feedback shapes the work throughout.
| Stage | You receive | You agree to |
|---|---|---|
| Discovery | Process map and baseline | Agree to the problem, the owners and how success will be measured. |
| Design | Solution blueprint and delivery plan | Agree on scope, ownership and acceptance criteria. |
| Develop | Working increments and test results | Review changes, run tests and security checks, demonstrate what works. |
| Deploy | Validated migration and readiness checklist | Users validate real scenarios; release, recovery and support ownership are agreed on. |
| Continuous improvement | Ongoing delivery, adoption reviews and a prioritized improvement backlog | Compare results against the baseline, agree on what changes next, and confirm who is delivering it. |
Updated : the licensing question now asks how Creatio is licensed, and answers with the per-user and per-organization plans side by side.
Support and improvement are planned as part of the engagement, not negotiated after it. Before launch we agree who is responsible for what, when the review points are, and how future changes are requested and delivered.
Then two kinds of work run side by side. Everyday delivery: the fixes, small changes and new requests a live system generates, handled as they come. And regular review: adoption, reliability and cost measured against the baseline agreed in Discovery, producing a prioritized backlog rather than a report. The next round of work comes out of that backlog — and the same people deliver it.
Both, and the split matters. Creatio AI Studio, which arrived with the 10x release in July 2026, manages the agent lifecycle inside the platform: instructions in the Prompt Agent Designer, multi-step processes in the Workflow Agent Designer, plus policy, approvals, execution monitoring and an audit trail. If the work is CRM work it belongs there, and we configure it for you.
Where the work runs outside Creatio we build on Google Vertex AI and connect back over Model Context Protocol (MCP) or REST. Either way the agent is scoped to one task and grounded in your live records — a generalist chatbot pointed at a CRM schema misreads it and exposes data nobody meant to share.
One caveat: Creatio AI Studio ships with the 10x release. On an earlier version, adopting it means planning an upgrade, and we scope that in Discovery rather than leaving you to find it later.
Creatio offers a per-organization plan alongside the per-user Growth and Enterprise plans. The per-organization plan prices the platform for the company rather than per seat: users, applications, workflows, custom objects and API calls are not counted. For most organizations that ends the conversation about who “deserves” a licence, which is usually the thing quietly limiting adoption.
AI actions are metered separately. So the number to forecast is agent volume rather than headcount — how many interactions your workflows will run. That is harder to estimate than seats were, and it is the single most useful thing to model before signing. We do it with you rather than leaving you to guess.
Per-user pricing is often cheaper for smaller teams. We will show you both against your real usage. The long version: how Creatio licensing works.
Not answered here? Ask us directly — we reply by the end of the next business day.
The Implementation Assessment is two weeks at a fixed price. You leave with the process maps, the prioritized requirements and a roadmap you own, whether or not you build it with us. If you would rather talk it through first, that conversation is free.
