Kimble isn't a tool to facilitate certain aspects of the day-to-day processes of a Professional Services company. It even doesn't allow a company to pick a subset of the huge features spectrum that Kimble offers, and which a company might want to use or prioritise on.
Instead, companies who decide to deploy Kimble will be enforced to align their business model and processes to achieve a minimum of consistency and alignment with Professional Services best-practices – not necessarily as end-to-end as Kimble's functional spectrum offers, but in line with a defined minimum.
And, this isn't a constraint or shortcoming, it is a central differentiator and benefit of the solution:
The real business benefits of Kimble - as for any PSA solution - will only be achievable if the required transactional and data-driven connect btw. demand and supply, btw. actuals and forecasts, btw. end user inputs and management views, etc is ensured.
The underlying model of Kimble does ensure the overall integrity – and so the reliability of data entered and data reported on.
Examples of low hanging fruits Kimble that provides:
1. creating and dispatching an invoice spanning multiple engagements for one client, covering any type of product/service (T&M, fixed price, ...) for a given period
2. matching available resource capacity with demand – differentiated by probability of the sale
3. crediting suppliers and employees for procured services and to be reimbursed expenses
The extensive coverage of processes and PSA functionality implicitly drives some complexity in terms of the understanding required by Kimble users.
On the other hand, Kimble systematically enforces consistency and Kimble users are guided to perform Kimble-based processes in the correct way, only. It is a learning curve for the users to understand why things have to be done in a certain way – always driven by functional and outcome-oriented requirements of the company, not driven by the tool.
Massively accelerate repetitive processes – such as invoicing and reporting.
Always have trustful data and views on the current operational status, on the performance in the past, or on the forecast.
Achieve consistency and completeness regarding the recording of actuals, and avoid outdated or non-maintained forecast.
And much more...