We find the money your operation is losing
An AI Orchestrator, embeds inside your operation, finds the costliest manual work, and builds the system that eliminates it.
AI works. You know that. The question is where it hasn't reached yet.
The manual work draining your margin is hiding in plain sight: the reports rebuilt every week, the approvals that stall, the data moved by hand between systems. The diagnostic puts a dollar figure on it.
Your team already uses AI
Your team drafts in ChatGPT, creates presentations using Claude, and summarizes calls using Read.ai. The tools work. The adoption already happened.
It just hasn't reached your operation
You still feel everything takes too much time. The reports four people rebuild every Monday. The follow-ups that fall through. The workflows consuming the most time are often the least improved. That's what the diagnostic is for.
Three steps. One person. Fixed scope.
We don't sell discovery phases. We don't bill by the hour. Here's exactly what working with us looks like.
Diagnose
An AI Orchestrator spends two to three hours inside your business, finds the costliest manual work, and puts a dollar figure on it you believe. Built together, not handed down. Cost: $500. The goal is clarity before any build begins.
Build
One problem. Fixed timeline. Acceptance criteria in the engagement letter before work starts. The value estimate is set with you during the diagnostic. Our fee is 20% of that year-one estimate, not a share of realized savings.
Maintain
AI systems drift when nobody watches them. A monthly retainer keeps someone attached: model updates, integration repairs, prompt tuning, plus a few hours each month hunting the next workflow worth fixing. Optional. 30 days notice to stop.
What this looks like in practice
Two recent builds, named outcomes.
80% of operational queries now handled by AI. ~$900k year-one value, set with the client.
Customer service, operations, and new hires depended on senior team members for answers, pulling experienced staff away from higher-value work and slowing response times. We identified knowledge transfer as the bottleneck and consolidated documentation spread across multiple data sources into a RAG-based searchable knowledge base. Now, 80% of operational questions are resolved without senior team involvement, reducing dependency and allowing experts to focus on business-critical work.
A US-based financial services company
Scaled member support without adding headcount. $375k year-one value, set with the client.
Member volume was growing faster than the support team could absorb manually. Hiring additional staff looked inevitable. We identified the highest-volume support workflows and automated them through an AI voice helpline integrated with the client's internal systems. The business avoided five new hires, automated 13 member-support workflows, and created an estimated $375K in year-one value. The engagement continues with purchase order automation, eliminating manual routing and duplication.
A North American food benefits platform
See if your operation has a leak this size.
Book a diagnostic
Your data never leaves your systems
Everything we build runs in your accounts, under your security policy. NDAs and MSAs are signed before the diagnostic begins.
The workflows bleeding money right now
Thirty real workflows we see across mid-market operations. The diagnostic puts a number on yours.
Proposal assembly
5-10 hours per proposal across three systems, two review rounds, a template nobody trusts. Same-day quotes win at 43%. Past 24 hours, win rates drop below 30%.
Pipeline reviews built on opinion
The forecast you take to the board Monday is wrong by Thursday. Reps update CRM stages when they remember to. Decisions get made on data that was stale before the meeting started.
Deal desk and pricing approval
Your reps wait two days for a discount sign-off while the competitor said yes in four hours. One day of approval delay costs roughly $80K in lost revenue.
Lead routing and follow-up response
Leads contacted in under five minutes close at 32%. After 24 hours, 12%. Good leads are arriving. Nobody is picking up the phone.
Commission calculation and dispute resolution
Commissions run on a 15-tab spreadsheet. Finance closes it three to five days late. Reps shadow-track their own numbers because they don't trust yours.
Contract renewal and upsell flagging
The renewal process depends on someone remembering. Across 100 accounts, someone always forgets. The customer is already shopping alternatives before you notice.
Vendor invoice reconciliation
80+ hours a month entering invoice data by hand. Missed early-pay discounts. The occasional duplicate payment nobody catches until the quarterly close.
Dispatch and scheduling
By 10 AM two jobs have changed and the plan is fiction. On a 20-tech crew, 40% of workdays disappear into travel and scheduling friction.
Inventory reorder and demand sensing
You carry 38% more inventory than you need while the three SKUs your biggest customer ordered are on backorder. Reorder points set by gut.
Work order lifecycle tracking
Created in the system, assigned on a whiteboard, updated by text, closed in a spreadsheet. The invoice goes out two weeks late and short.
Returns and warranty claims processing
Three people touch each return. Authorization takes four days. The pattern driving 60% of claims never gets found, so the return rate never changes.
Subcontractor onboarding and compliance
Insurance certs expire and nobody checks until the job starts. One lapsed certificate shuts down a site. A $200K project sits idle for a PDF.
Client onboarding and intake
6-12 touches across four people. The client answers the same questions they answered in the sales cycle. Setup takes weeks instead of days.
Customer health scoring and renewal
Usage, tickets, and contract dates live in three systems that don't talk. The account was saveable 90 days before your CSM scrambled the save play.
Escalation routing across departments
Three days pass. The client copies their VP. Someone finally owns it, but the client has already told two peers not to buy from you.
QBR prep that eats the whole week
8-12 hours per account to build a deck. 45-minute meeting. Half the slides get skipped. The concern that drives renewal comes up in the last five minutes.
Customer feedback and close-the-loop
22% respond to the NPS survey. Detractors get flagged. Nothing happens for two weeks. You proved to your unhappy clients that you don't act on what they say.
Service entitlement verification
The rep can't tell if the client has a 24-hour SLA or next-business-day. So they over-service and eat margin, or under-service and trigger a complaint.
Campaign reporting and attribution
Your board asks which channel drove the $400K deal. Nobody can answer in under a week. Budget gets approved based on who argues loudest.
MQL-to-SQL handoff
30-40% of MQLs sit in limbo: not accepted by sales, not recycled by marketing. You're spending 25-30% of your pipeline budget on leads that evaporate in the gap.
Content production and approval
8-12 weeks from idea to publish. The campaign window closed weeks ago. You have 10-15 stories approved in principle that never ship.
Event and trade show lead capture
200 scans. A CSV three days later. 80% of trade show leads never get a single follow-up. Pipeline that evaporates between the convention center and your CRM.
Sales enablement collateral management
Three versions of the one-pager, none labeled final. Your rep improvises. This happens 5-8 hours a week across your team.
RFP response assembly
Past responses on someone's laptop. Specs from three departments over email. A $500K opportunity gets a C-minus response because assembly ran out of time, not talent.
Employee onboarding
15-20 tasks across four teams, nobody owns the list. 20% of new hires leave within 45 days. You spent $15-25K replacing someone you never properly started.
Timesheet and project-hour reconciliation
Running 60% utilization instead of 70% leaves $800K-$1.2M on the table per 100 billable staff. Nobody trusts the data, so nobody makes decisions from it.
Technician compliance and certifications
One expired OSHA card costs a $2K day. One lapsed cert in an audit triggers $15K+ per violation. The tracking system is a spreadsheet one person maintains.
Time-off and coverage scheduling
PTO gets approved without checking the project schedule. Two weeks later a deliverable slips or a shift runs short and someone gets called in on overtime.
Offboarding and IT deprovisioning
89% of former employees retain access to at least one corporate application after departure. You find out when a client asks why their former contact can still see their files.
Performance review cycles
Half the reviews are written the night before. Comp, promotion, and termination decisions made on bad data. When the last three reviews say "meets expectations," you have a legal problem.
The person going into your business
One AI Orchestrator, accountable from start to finish.
Who they are
An AI Orchestrator dedicated to your engagement. They start with the diagnostic to find the costliest manual work and design the systems that remove it.
What they do
They find the problem, build the fix, deploy it, train your team, and stay attached to maintain it. Their role is to turn bottlenecks into systems that run faster, cheaper, and with less manual work.
What they're not
Not a consultant who advises and leaves. Not a developer waiting for tickets. Not a vendor you have to manage. They own execution and remain accountable for the outcome.
Who backs them
Creative Chaos, shipping enterprise production software since 2000. ~150 engineers, designers, and operators. The person is the face; the firm is the engine.
You already know which parts of your business shouldn't work the way they work.
The only question is whether this is the week you find out what it's costing you.
