Exception handling, reporting, and field coordination.
Prioritize exceptions, summarize status, route follow-ups, and give supervisors cleaner visibility into what actually needs action — instead of compiling reports by hand.
Solutions
Start with a workflow problem. Get the right mix of advisory, tools, and automation.
AICG solutions combine consulting judgment with practical implementation — workflow mapping, data readiness, automation design, AI agents, dashboards, and the adoption routines that make all of it stick.
Most AI initiatives stall not because the technology fails, but because the work around it is unclear: no owner, no measurement, no plan for the day-to-day reality of the team that has to use it. AICG starts from the business problem and works backward — choosing the lightest combination of advisory, tooling, and automation that actually moves the metric you care about.
The four areas below are where we see the fastest, most durable returns. Each can begin as a single, measurable pilot and grow into a broader operating capability only when the results justify it.
Intake, response triage, and service workflows.
Classify inbound requests, draft responses, enrich context, and route sensitive cases to a human owner — faster service without losing the personal touch.
Expense, invoice, quote, and approval flows.
Cut spreadsheet work with tools that capture, validate, summarize, and route routine administrative work, with approvals and an audit trail built in.
Responsible AI adoption without bureaucracy.
Create plain-language policies, human review gates, acceptable-use rules, and a review cadence so AI-assisted work stays controlled and defensible.
Engagement types
Start from a narrow workflow or a broader AI operating model.
AI opportunity assessment: identify the first 3–5 workflows worth evaluating, ranked by value and feasibility.
Workflow pilot: build a small working automation or agent with metrics, controls, and a human in the loop.
Operating model: align roadmap, governance, data readiness, training, and ownership across the program.
Custom tool build: create a lightweight internal app or AI-assisted workflow around your specific process.
Portals & platforms: customer- and partner-facing portals — gated sign-in, deal registration, service requests, approvals, and status tracking — designed, built, and operated lean. See one in production →
CRM & systems setup: deploy a free, open-source CRM on the EspoCRM platform — cloud or self-hosted — tailored, integrated, and handed to your team to own.
How we work
Advise. Design. Build. Operate.
We map the workflow and quantify what it costs today, choose the pilot with the clearest payback, build it with measurement and review, then document and train so your team owns the result. Every step ties back to a number you can defend.
Solutions: common questions.
How is a solution different from a single tool?
A tool is one app or automation. A solution combines advisory work, workflow design, the right tools, data readiness, and adoption routines to solve a business problem end to end.
What is the smallest way to start?
An AI opportunity assessment that identifies the first three to five workflows worth evaluating, followed by a single workflow pilot with metrics and controls.
Do you only build automations, or also advise?
Both. Every engagement pairs advisory judgment with hands-on implementation, so the roadmap does not stall at the presentation layer.
How do you make sure a solution is adopted?
We design for adoption from the start: a clear owner, human review where it matters, documentation, training, and a measurement routine that proves the work improved.