Practical AI consulting

Make AI useful in the work your team already does.

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.

Prepare the next customer conversationIllustrative workflow
Selected source context
Account notesOpen casesMeeting notes

Customer handover

Draft for review

The 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.

Illustrative information and interface, using fictional customer context. This is a workflow example, not an EKWIS AI product screen.

For operational teams

Put the relevant information in front of the next person.

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.

  • Summaries and handovers

    Bring the important context together, retaining sources, unresolved questions and the next action.

  • Classification and field preparation

    Suggest useful categories or values from unstructured information, with rules and review around the result.

  • Access to approved knowledge

    Help staff ask questions of defined information sources, with appropriate access and a route for uncertain answers.

Customer story · ECI Partners

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.

Read the ECI Partners story

For technical teams

Give developers a better starting point.

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 process
Illustrative delivery workflow

From support request to an implementation brief.

The request
“Account owners need more time to prepare for renewals.”
AI-assisted preparation
Bring together the request, current reminder Flow and relevant contract fields. Draft the proposed behaviour and test scenarios.
Developer review
Check the assumptions, access, exceptions and impact on existing automation.
Release remains a human decision
Fictional request and delivery brief. AI assistance does not establish that a proposed change is correct.

From an idea to a working process

Choose a worthwhile job. Prove it. Build it into the operation.

Start with enough scope to learn something useful. Widen the workflow when the results and operating requirements justify it.

  1. 01

    Choose a starting point

    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.

  2. 02

    Test representative examples

    Include difficult cases as well as straightforward ones. Check output quality, failure behaviour and expected usage, then agree which results need a person.

  3. 03

    Build and support the workflow

    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 session

Clear checks and ownership

The result needs someone who can act on it.

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.

The data and tools

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.

The result and next action

Make review part of the workflow.

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

A Salesforce use case may start with EKWIS AI.

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