Use AI where it removes real work—not because the label is fashionable.
GRID EATER designs practical AI-assisted workflows, customer communication, sales support and bounded agents around the business process, existing systems, risk and expected usage.
Implementation cost depends on complexity, providers, integrations, approvals and consumption. Human review can remain wherever judgement or risk requires it, and third-party usage costs stay visible.
Four useful entry points.
Start with the business need. Specialist pages remain available without asking every visitor to choose between a wall of AI terminology.
Consulting & Implementation
Assess the workflow, risk, economics and implementation path before choosing tools.
Consulting details →Workflow Automation
Documents, admin, content and repeatable internal work connected into controlled flows.
Automation details →Customer & Email Workflows
Understand, draft, route, follow up and escalate while retaining approval where needed.
Email workflows →Agents & Integrations
Bounded tools and permissions for multi-step work across approved systems.
Agent details →Prove one useful workflow before scaling it.
The same discipline applies whether the output is a draft, an internal recommendation or an authorised action.
AI questions
The useful questions are usually about control, economics and integration rather than model hype.
Which AI model do you use?
GRID EATER can work across suitable providers and local options. The choice depends on the task, data, controls, speed and cost rather than a single permanent favourite.
Does AI need access to all our data?
No. Access should be limited to the information and tools required for the workflow, with permissions and approvals designed around the risk.
Can we keep people in the loop?
Yes. Human approval can be mandatory for sensitive, high-value or unusual actions while routine low-risk work remains assisted.
How are ongoing AI costs handled?
Implementation and management are separate from provider consumption or subscription charges. Expected usage is part of the scope rather than hidden after launch.
Use a Discovery session to identify the highest-value next step before committing to a larger project.