PRACTICAL AI CONSULTING

Give AI a useful job, then put controls around it

We help operations and technical leaders apply AI to real work: handling customer context, preparing decisions, reducing repetitive administration and improving delivery. We start with the workflow and evidence, then choose the smallest useful combination of models, agents, integrations and approved data.

WORKFLOW BEFORE TOOLING

Make The Decision Boundary Explicit

A useful AI workflow is clear about what the model is helping with, what information it can use and what must still be checked by a person or deterministic system.

  • Define the jobIdentify the repeated decision, reading or drafting task and the operational outcome it needs to improve.
  • Control the contextDecide which systems and records may provide input, and remove data the workflow does not need.
  • Design the responseUse structured outputs and validation where the next step needs more certainty than free-form text provides.
  • Keep accountabilityName who reviews exceptions, monitors quality and decides whether an AI-assisted result can drive an action.

THREE PRACTICAL STARTING POINTS

Move From Interest To A Governed Working Use Case

We can start with one operational problem, a Salesforce-specific use case or a broader delivery and governance review.

WHERE AI CAN HELP

Focused Workflows With A Clear Next Step

Good candidates have enough repeated context to benefit from assistance and a clear way to check the result before it matters.

Operational Summaries

Prepare case, account, renewal or delivery context for the person taking the next action, with source evidence and open questions retained.

Classification & Routing

Suggest categories, priorities or destinations from unstructured inputs, with rules and exception handling around the outcome.

Structured Data Preparation

Turn notes, documents or messages into proposed fields or structured JSON that another system can validate before use.

Drafting & Review

Prepare a first draft or review against known criteria while leaving approval and external communication with an accountable person.

Knowledge-Grounded Assistance

Use approved internal material to help teams answer bounded questions, with source visibility and a route for uncertain results.

Delivery Support

Improve issue preparation, implementation drafts, test thinking and review without bypassing engineering ownership or release checks.

DESIGN FOR OPERATIONS

The Controls Are Part Of The Product

Privacy, security, model behaviour and human review cannot be added as an appendix after a proof of concept. We design them into the workflow and its operating model.

Data Boundary

Document what information is sent, why it is needed, where credentials are held and which provider terms apply.

Output Contract

Define the expected format, deterministic checks and conditions that send a result to human review.

Quality Evidence

Test against representative examples and known difficult cases before deciding whether the workflow is ready.

Operational Ownership

Name the person responsible for monitoring, exceptions, change approval and retirement when the use case no longer fits.

AI INSIDE SALESFORCE

When Salesforce Flow Is The Right Place To Act

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.

Explore EKWIS AI

WHAT GOOD ADOPTION LEAVES BEHIND

Useful Adoption Without Unmanaged Shortcuts

Anonymised delivery note Existing Salesforce customer

A Bounded Flow Use Case Was Deployed And Validated

We started with a defined Salesforce process, named intended users and a controlled release path. We then installed EKWIS AI, deployed the customer-specific automation, assigned dedicated permissions and validated the release in the production org.

A Defensible Starting Point

Leaders can see which use case is worth pursuing, what evidence supports it and what should wait.

A Workflow Teams Can Own

The people operating the process understand where AI acts, what to check and how to handle exceptions.

A Controlled Route To Scale

Proven use cases can move into supported operation with defined controls for security, quality and release accountability.