Agree what the AI can access.
Choose the necessary sources and permissions. Document the provider, credentials, data sent and storage so the team understands the full path.
Practical AI consulting
Help your team find information, prepare work and handle repetitive tasks. We start with one real workflow, test where AI is useful and build the checks, integrations and support it needs to work in your business.
Customer handover
Draft for reviewThe renewal review is approaching. The customer wants to discuss its service requirements.
Source: account notes
A service issue remains open. Confirm the current status before the call.
Source: open cases
Question to confirm: who will join the renewal discussion?
Source: meeting notes
The account owner checks the sources and decides what to use.
For operational teams
Useful context is often spread across business systems, documents and conversations. We help connect the approved sources and turn that context into something a person or process can use.
A first workflow might prepare a handover, suggest a request category or extract defined information from text. We agree the inputs and the checks before using the result in the operation.
Bring the important context together, retaining sources, unresolved questions and the next action.
Suggest useful categories or values from unstructured information, with rules and review around the result.
Help staff ask questions of defined information sources, with appropriate access and a route for uncertain answers.
ECI Partners describes putting AI to use through EKWIS AI, with tools that check and enrich contact and company data and bring together information on investment opportunities.
For technical teams
AI can help turn a request and its technical context into an implementation brief, prepare an initial change and suggest tests. Developers still need to understand the output, review it and decide whether it is ready.
We help teams work through tool access, repository context, review habits and release checks so the assistance fits their delivery process.
Explore the Salesforce delivery processFrom an idea to a working process
Start with enough scope to learn something useful. Widen the workflow when the results and operating requirements justify it.
Review the repeated work, available information and people involved. Decide whether AI is a sensible next step and what a useful result would look like.
Include difficult cases as well as straightforward ones. Check output quality, failure behaviour and expected usage, then agree which results need a person.
Connect the approved systems, implement the checks and prepare the people who will run it. Make monitoring, exceptions and future changes part of the handover.
A readiness session can help you identify the first workflow worth exploring.
Request a readiness sessionClear checks and ownership
We make it clear what information the workflow can use, what the response must contain, how it is checked and who handles exceptions. People remain accountable for design, security, testing and release decisions.
Choose the necessary sources and permissions. Document the provider, credentials, data sent and storage so the team understands the full path.
Use structured responses and deterministic checks where appropriate. Provide a clear review or exception route when the result is uncertain or the action needs approval.
AI inside Salesforce
EKWIS AI is our SaaS product for adding controlled AI actions to Salesforce Flow. It is available to existing EKWIS customers through a guided private release, but remains one delivery option rather than the starting point for every AI conversation.
See an EKWIS AI example