AI THAT KNOWS
YOUR BUSINESS.
AI is moving fast, and most consultants want to sell you their stack. Whether you haven't started, you've dabbled with prototypes, or you have something live and need experts to scale it — IMGE meets you where you are. We embed in the business, find the real bottlenecks, and pick the right model (Claude, GPT, Gemini, open-weight) for each problem.
We meet you where you are
THREE PLACES PEOPLE FIND US.
Starting from zero
"Where do we even begin?"
You haven't shipped AI yet, you're watching the space move every week, and you need a partner that will walk in, look at your business, and tell you where AI fits — and where it doesn't.
Stuck in prototype
"We've dabbled. Nothing's sticking."
You've run pilots, built demos, maybe shipped a chatbot — but the P&L hasn't moved and the team isn't saving time. We figure out why, fix the workflow underneath, and get something running that actually matters.
In production, need to scale
"It works. Now make it real."
You have AI live and getting results, but governance, evals, model swaps, cost management, and the operating model around it are all ad-hoc. We bring the engineering and ops discipline so it scales without breaking.
The real problem
YOU KNOW YOU NEED AI. FIGURING OUT THE HOW IS THE HARD PART.
You're not arguing about whether AI matters anymore. The hard part is which workflows it actually fits, which model to use for each one, how to wire it into the operations you already have, and how to know it's actually working. New models drop monthly. Best practices shift weekly. Picking a partner who lives in the weeds with you, instead of selling a slide deck, is where the real progress starts.
That's the work we do.
How we work the problem
SIX THINGS WE DO ON
EVERY ENGAGEMENT.
01
BUSINESS DIAGNOSTIC
Before we touch a model, we sit with your team. Where the work actually slows down, where the same decision keeps being remade, where the cost-per-output is the wrong shape. That's where AI can earn its keep — and where it usually can't.
02
THE RIGHT MODEL FOR THE JOB
We've shipped against Claude, GPT, Gemini, and open-weight models in production. Each one is better at something. We pick based on what the task actually needs — accuracy, latency, cost, governance posture — not on which vendor we've made friends with.
03
BUSINESS AUTOMATION & WORKFLOW DESIGN
Most of what AI is genuinely good at is the operational work nobody enjoys — intake, classification, drafting, routing, scheduling, approvals, the inbox eating your team's mornings. We map the workflow, identify where AI + traditional automation belong (sometimes it's both), and ship the system that takes it off the team's plate.
04
CUSTOM AGENTS & MCP SERVERS
Production agents and MCP servers that plug into your data, your CRM, your warehouse, your tools. Built once, hardened with evals, scoped to a real business outcome — not a demo.
05
DATA FOUNDATIONS
Most AI work stalls because the data underneath it was never ready. We assess what you have, what's clean, what's connected, and what needs a real foundation before any agent can be trusted on top of it.
06
MEASUREMENT & GOVERNANCE
Eval harnesses against the metrics that matter to your business, cost and latency monitoring, audit logs, and a governance posture that holds up to your legal and compliance teams. If we can't measure it, we don't ship it.
The engagement
UNDERSTAND FIRST.
BUILD SECOND.
- 01
EMBED
We spend the first two weeks inside your business. Sitting with the teams doing the work, watching the workflow, asking what's slow, what's redundant, what nobody likes doing. No slide decks, no roadmaps yet — just understanding.
- 02
DIAGNOSE
We come back with a sharp read on where AI fits and — just as importantly — where it doesn't. The output is a short list of problems worth solving, with the expected efficiency or revenue impact of each.
- 03
DESIGN
For each problem we pick the right model, the right architecture, the right human checkpoints, and the rollout plan. Model selection is deliberate — Claude here, GPT there, an open-weight model where it makes sense.
- 04
BUILD
Our engineers ship the agents, the integrations, and the surfaces the team will actually use. Hardened against evals from day one — not "production-ready" theater.
- 05
OPERATE
Live with monitoring, on-call coverage, and a real measurement loop. We stay involved — iterating against the business outcomes you care about, swapping models as the landscape moves, and reporting impact quarterly.
Real outcomes
PROBLEMS WE'VE
ACTUALLY SOLVED.
Back-office automation, gone for good
Invoice intake, expense triage, contract review, vendor onboarding, scheduling, approval routing — the operational work that eats hours every week. AI agents handle the boring middle, humans approve the edge cases, your team stops being a queue.
Cutting research time from weeks to hours
Internal agents that synthesize voter file, behavioral, and market data into briefing documents in minutes. Same quality, ~95% time saved for the people doing the synthesis work today.
Inbox & inbound triage
Incoming email, form submissions, support tickets, and DMs classified, routed, and drafted automatically. The team only touches what genuinely needs them — and even then, they start with a draft, not a blank page.
Asking your warehouse in plain English
MCP servers connecting Snowflake to Claude (or GPT, or both) so analysts skip the SQL and get auditable answers — with the query the agent ran attached, so the answer is checkable.
Recurring reports that draft themselves
Weekly board reports, monthly performance memos, quarterly business reviews — the numbers come from the warehouse, the narrative drafts itself, the human edits and ships. Hours back to the team, every cycle.
Creative production at 10× output
Generative pipelines for ad variations, video drafts, and personalized outreach — bound by brand guardrails and measured on the same conversion metrics as human-made creative.
Compliance & document triage
Agents that pre-read long documents, flag the parts that need a lawyer, summarize what they say, and pre-fill the routine forms. Humans stay in the loop where the stakes demand it.
Tier-1 customer & constituent response
Response agents trained on your knowledge base, seamless handoff to humans, full transcript visibility. Faster response, fewer escalations, and a team that can finally focus on the hard cases.
Why AI Advisory
YOUR BUSINESS FIRST.
AI SECOND.
We're not the team that arrives with a model recommendation. We're the team that learns your business, finds the real bottleneck, and then picks the right AI to solve it — from Claude or GPT to Gemini or an open-weight model, whatever the work actually needs.
Business first. Always.
We don't start with the model. We start by understanding how your business actually works — and we only build where AI can clearly move the needle on efficiency, output, or revenue.
Model-agnostic, in production
Real production experience across Claude, GPT, Gemini, and open-weight models. We pick the right one for each task and rotate as the landscape moves. No vendor lock-in disguised as a recommendation.
Engineers and operators, side by side
Most AI consulting is either deep technical (and out of touch with the workflow) or strategic (and never ships). Our teams bring both — engineers who build, operators who change how the work gets done.
Marketing- and advocacy-native
A decade of running campaigns, building audience platforms, and shipping creative at scale. We know the operations underneath the AI buzz, and where it actually changes outcomes.
The next step
TELL US WHAT'S SLOW.
WE'LL TELL YOU WHERE AI FITS.
Bring us the workflow that's taking too long, the report that takes a person three days, the inbox that's eating your team — and we'll show you whether AI is the right answer, which model fits, and how to get there.
Talk to the team