AI Automation · New from E11
Build the brain of your business.
AI trained by your senior people, on your business, until it does the digital work as accurately as they do. Your team redeploys to customers, strategy, and the human work that grows the company. Your business scales without proportional headcount.
The misconception
Most AI fails because most AI isn’t trained.
You’ve probably tried it. Someone on the team types a prompt into ChatGPT, gets a generic answer, decides AI “isn’t there yet,” and goes back to manual work. The conclusion most leaders walk away with is that this technology is overhyped.
It’s not. Untrained AI is a brilliant new hire on day one — capable, but with no context. The companies pulling away from their competitors right now aren’t using better AI; they’re using trained AI. Agents that have been taught their workflows, their tools, their decision rules, their edge cases. Once that training is done, an agent runs the digital work as accurately as the senior people who taught it. And it doesn’t sleep, take vacation, or quit.
This is the next operating model. The leaders who get there first will scale faster, with better margins, on smaller teams, while their competitors are still typing prompts into a chatbox.
What we build
If a human does it on a computer, an agent can be trained to do it.
Once the brain has the context — your tools, your data, your decision rules — almost any digital workflow becomes a candidate for automation. The list of what’s possible isn’t six things; it’s the list of digital tasks running through your business today. These are common starting points. Discovery surfaces the rest.
Compress weeks of work into days.
Our own website builds went from 8 weeks to 2 weeks; soon a few days. The same compression applies to any digital workflow your team runs end-to-end. Speed-to-market becomes a moat competitors can’t reach without rebuilding their org.
Your business runs while you sleep.
Sales qualification, customer responses, fulfillment routing, follow-ups, daily reporting — running 24/7 without anyone on call. Wake up to work that’s already done. The companies in your space that are doing this are pulling further away every quarter.
Multiply output without multiplying headcount.
Your output curve and your headcount curve stop being the same line. Trained agents take the digital work off your existing team’s plate; your people redeploy to customer-facing roles, judgment calls, and growth bets. Same building, much bigger company.
White-glove service for every customer, not just the top 10%.
Personalized onboarding, account-specific proposals, tailored follow-ups, custom recommendations — generated for everyone in your pipeline, not just the accounts large enough to justify the human time. The level of attention you used to reserve for enterprise becomes your default.
Strategic insight, surfaced before you ask for it.
Anomaly detection, trend surfacing, forecast updates, competitive intel — synthesized continuously across every system you run on, escalated only when something matters. You walk into every meeting already knowing what changed, and why.
Senior-level judgment on every decision, not just the ones you have time for.
Pricing review, fraud detection, fit screening, exception handling — your best operator’s instincts applied to 100% of transactions instead of the 10% they manage to look at. Quality stops being the bottleneck. Mistakes that used to slip through show up before they cost you.
The platform
Command Center: all your business context, in one place.
We don’t just write scripts. We build your business its own brain — Command Center — where every agent has access to the tools, data, and skills it needs to do its job, with the same context a senior team member would have. And every run feeds back: outcomes, exceptions, and edge cases get reported, reviewed, and woven back into the agents’ training. The brain gets sharper week over week.
- Skills are versioned. Updates ship safely, with clear before/after.
- Workflows are auditable. Every step an agent takes is logged and reviewable.
- Failures route to humans automatically. Edge cases never disappear silently.
- Continuous learning. Every run feeds context back into the brain. Your agents get better with every repetition — without anyone retraining them by hand.
- One dashboard for all of it. Manage your AI workforce the way you’d manage a team.
How it works
Discovery first. Build second.
Real automation can’t be a template. We start with how your business runs today, who knows the work best, and what their decision rules are — then build agents around that, with their fingerprints on the training.
01
Discovery
Working sessions with the people who know your operations best — finance leads, ops managers, senior closers. They tell us how the work actually happens; we capture the decision rules, the edge cases, and the institutional knowledge that lives in their heads.
02
Audit
A written automation roadmap. Every candidate scored by effort, ROI, and risk. You walk away with a usable plan — keep working with us or not, the playbook is yours.
03
Build
We configure agents in Command Center, connect your tools, codify the skills your senior people have been doing manually, and wire the workflows.
04
Train
Side-by-side with your senior people on real work, until accuracy hits the bar they’d hold a human to. We define the handoff rules for edge cases that should always route to a person.
05
Operate
Monitoring, accuracy tuning, the iterative training loop that makes your agents sharper week over week, new workflows as you grow, and security & LLM updates as the underlying tech evolves.
Proof
We don’t sell what we haven’t lived.
Before we ever offered AI Automation to clients, we ran our own agency on it. Inside E11, trained agents now do the work that used to require entire roles:
Design
Concept generation, brand-system application, pixel-perfect HTML/CSS output. Trained on our standards; produces work indistinguishable from the senior designer who taught it.
Development
Production code, refactoring, bug fixes, full feature shipments. Trained on our codebase conventions and review standards.
QA & accessibility
Test generation, WCAG audits, performance benchmarking, regression catching. Faster and more thorough than manual review.
Launch processes
Deployment workflows, environment configuration, post-launch verification. The DevOps work that used to consume an engineer’s afternoon now runs in the background.
Project management
Status updates, blocker escalation, client communication scaffolding. The administrative work that fragments PM attention.
Performance & ops
Page-speed mitigation, accessibility remediation, infrastructure monitoring. Continuous, never-tired vigilance on the things humans tend to forget.
The same training discipline we used on ourselves is what we bring to your business. We know it works because we’ve already felt the productivity unlock — and we’ll never go back.
Pricing
Phased, transparent, and tied to outcomes.
Phase 1
Discovery + Audit
$10,000
fixed
We map your operations, identify automation candidates, and deliver a build plan with effort and ROI estimates per workflow. You leave with a usable roadmap whether you keep working with us or not.
Phase 2
Build + Train
From $40K
scoped from audit
Agent setup, integrations, custom skills, and workflow configuration in Command Center. Scales with the number of workflows you automate, the complexity of your integrations, and the volume of custom skills we build.
Ongoing
Operate
From $2K/mo
monthly retainer
Continuous monitoring, accuracy tuning, security & LLM updates, and ongoing skill improvements. Goes up with the number of active workflows, agent run volume, and how often we ship new skills for you.
Ready to see what’s possible?
Book a 30-minute discovery call. We’ll walk through your operations and identify where automation moves the needle for your business.