ServiceNow, Salesforce and cloud platform implementations — assessed, designed, configured, migrated and adopted, with the process work done properly before anyone touches configuration.
An enterprise platform will happily let you rebuild your worst process in a nicer interface. That is the most common and most expensive implementation outcome — a licensed platform, a completed project plan, and users who route around it.
We start with the process, not the product. What the workflow should be, which parts of it earn their existence, what the data model needs to support in three years. Then we configure — favouring out-of-the-box capability over custom code, because every line of customisation is a future upgrade problem.
These are the measures we baseline at the start and report on throughout — not results claimed in advance.
Independent assessment of where you are, what the platform can realistically do for you, and the sequence that gets there without stalling the business.
ITSM, ITOM, HRSD and custom workflow applications implemented against ServiceNow's own leading practices, with a CMDB that stays trustworthy.
Sales, Service and Experience Cloud implemented around a data model that reflects how your revenue actually works, with migration handled as a first-class workstream.
Moving workloads to AWS, Azure or Google Cloud with the governance, network and security foundations in place before the first application arrives.
Warehouses, lakehouses and reporting layers built so that the numbers reconcile and the definitions are written down somewhere people can find them.
The part of implementation that determines whether any of the rest of it matters — getting people to actually use what was built.
Five phases, each with deliverables you can point at. No phase ends on a status report alone.
Process discovery workshops, system inventory and data profiling — establishing what exists today and, more usefully, why it exists.
Deliverables
Future-state process design and platform solution design, validated with the people who will use it before a single configuration change is made.
Deliverables
Iterative configuration in sprints with regular playbacks, so stakeholders see the working platform early enough for their feedback to still be cheap.
Deliverables
Rehearsed data migration with full reconciliation, followed by user acceptance testing against real scenarios and real volumes.
Deliverables
Cutover executed against the rehearsed plan, then a hypercare period where adoption is actively measured and low-usage pockets are addressed directly.
Deliverables
Different problems want different commercial shapes. We will tell you which one fits, including when it is the cheapest one.
A time-boxed assessment and roadmap with no obligation to use us for the build that follows.
End-to-end delivery from assessment through go-live and into hypercare, run as a single accountable programme.
Our consultants working alongside your platform team, transferring capability deliberately as the work proceeds.
Stabilising an implementation that has stalled — an honest assessment of what is salvageable, then a recovery plan.
We pick tools to fit your existing estate and your team's ability to maintain them, not to fit our preferences.
Our consultants hold platform certifications and we work to each vendor's published implementation methodology. Formal partner-tier status is something we are building as the firm grows — we would rather tell you that plainly than imply a badge we do not yet hold.
Because every customisation is a cost you pay again at every platform upgrade, and these platforms upgrade multiple times a year. We aim to meet requirements with native configuration first, and when custom code genuinely is the right answer we document why, so the decision is reviewable later.
It depends on scope and on how ready your data is, and we will not pretend otherwise. A focused single-module rollout is typically weeks; a multi-module programme with legacy migration runs months. Assessment gives you a defensible timeline rather than an optimistic one.
It usually is, and finding that out during cutover is the expensive version. We profile every source during assessment and put data remediation into the plan as its own workstream with its own timeline, rather than assuming it away.
Yes — our co-delivery model is built for exactly that, with capability transfer as an explicit deliverable rather than a side effect. Several clients want the platform knowledge to end up in-house, and the engagement is structured to make that happen.
A short conversation is usually enough to tell whether we're the right fit. If we're not, we'll say so and point you somewhere better.
Or email us directly at reachus@segakiv.com
