"Chasing invoices, scheduling appointments, and sending status emails is half our week."
These tasks are predictable, repetitive, and easy to automate. The problem is you don't have the time or expertise to build the system that eliminates them.
FOR BUSINESSES WITH 5–50 PEOPLE
We identify the biggest operational time-wasters in your business, build the automations to fix them, and hand you a system that runs itself. No learning curve. Measurable time savings from day one.
14 hrs/week saved on average · Fixed-scope builds · Guaranteed outcome or we work free
Three ways to engage







Guaranteed minimum of 10 hours saved weekly within 30 days. Tracked and reported. No exceptions.
From scoping call to automations running. No year-long projects. No 47-step onboarding. You’re saving time quickly.
We map your biggest time-wasters, build the fix, and guarantee the result. Not happy? We work free until you are.
Book a free scoping call →
Solutions by Industry
Different industries have different operational bottlenecks. Pick yours to see the AI and automation solutions that actually apply.
Trades and construction businesses lose 20%+ of the principal's week to paperwork — quote follow-up, invoice chasing, job scheduling, and supplier coordination. We automate the admin layer so the business keeps running even when you’re on-site.
Your jobs run on time. Your invoices get paid. Your evenings are yours.
Most tradies are the last to get paid because follow-up is inconsistent. We build the system that follows up automatically — every time, without exception.
Allied health practices lose 15–20% of revenue to no-shows, late cancellations, and rebooking gaps. We automate appointment confirmations, reminders, no-show follow-up, and recall campaigns — without changing your booking system.
Your chair stays full. Your front desk focuses on patients, not admin.
A physio clinic we worked with recovered significant hours per week and reduced no-shows with a small set of automations. The system paid for itself in tools cost within the first month.
Agency owners lose 10+ hours per week to project status emails, proposal follow-up, timesheet chasing, and client reporting. We build automation that keeps clients informed and projects on track — without you being the one sending the emails.
Projects stay visible. Clients stay happy. Your Friday afternoon is yours.
Agency principals spend hours every week on coordination that adds zero value to clients. That’s the time we give back.
Property managers handle dozens of routine touchpoints per property per month — maintenance requests, lease renewals, rent reminders, inspection scheduling. We automate the follow-up layer so nothing slips through the cracks as portfolios grow.
Your portfolio runs on schedule. Your tenants get timely responses. Your stress level drops.
The workload of property management scales linearly with portfolio size — unless the routine touchpoints are automated. We build the system that keeps pace as you grow.
Law firms and sole practitioners lose billable time to administrative coordination — client follow-up, document chasing, billing reminders, and appointment scheduling. We build automations that handle the coordination layer so fee-earners bill, not chase.
Fee earners bill. Admin runs itself. Nothing gets lost between matters.
The average small law firm spends 30% of its operating hours on administrative coordination. We automate the routine so the practice can focus on client work.
Small retail and e-commerce businesses leave revenue on the table through abandoned carts, inconsistent post-purchase follow-up, and manual inventory alerts. We automate the revenue recovery layer — without requiring a developer or a custom integration build.
Every abandoned cart is followed up. Every repeat buyer is reminded. Revenue recovers itself.
Most small retailers recover very little from abandoned carts because follow-up is manual and inconsistent. An automated sequence recovers a meaningful percentage without touching the customer experience.
Where Most AI Projects Break
Most businesses have the same four blockers before AI can work: scattered data, undocumented processes, broken integrations, and manual steps that should have been automated two years ago. Here's what that looks like in practice.
"Chasing invoices, scheduling appointments, and sending status emails is half our week."
These tasks are predictable, repetitive, and easy to automate. The problem is you don't have the time or expertise to build the system that eliminates them.
"We bought a tool. The team still does everything manually."
Tools don't fix broken workflows. Without a clear, end-to-end process map, any automation you add will fail. We fix the workflow first, then build.
"Our data is everywhere: spreadsheets, email threads, three different apps."
Automation requires a single source of truth. We consolidate your chaos into a structured system before a single line of automation is written.
"We have the tech stack. We just don't know how to make it work for us."
When your infrastructure is solid, the path is clear: identify the decision points, automate the repetitive steps, and add the logic layer. No rebuild required.
How We Build It
Whether you’re starting from scratch or cleaning up existing infrastructure, the work follows the same four-stage sequence. Every stage produces something your business can run on. Skip any of them and the AI layer that comes after won’t hold.
Map the current operation: where decisions get made, where information moves, where things fall through. Identify the gaps that automation would lock in and fix them first. The work that happens here determines whether everything downstream actually works.
Once the process is clean, we automate the repetitive steps. Status updates, handoffs, data entry, report generation, approval chains. The goal isn't replacing people — it's freeing them from work that adds no judgment value and should have been automated two years ago.
Build the database layer that unifies your business information. CRM records, operational data, customer history, product usage — all in one place, in a consistent structure. This is the prerequisite for any AI that needs to reason about your business. Without it, you're giving the model noise.
Now the AI actually works. Agents that make decisions with full context. Automations that handle exceptions, not just happy paths. Predictive logic embedded in the tools your team already uses. The intelligence is only as good as what's underneath it — which is why we build in this order.
Three Ways to Start
The right starting point depends on what you already have. If your infrastructure is solid, we add intelligence. If it’s messy, we fix it first. If there’s nothing there yet, we build from the ground up.
Not sure where to start? We diagnose your operational bottlenecks, map broken workflows, and identify which 2-3 automations would save your team the most time and money.
Regular Price
$3K–$5K
1-2 weeks, discovery call included
Includes
Your outcome: A clear roadmap. You know exactly what to automate and why. No guessing. No surprises.
You know what's broken. You want it fixed and automated. We clean up your data structure, fix broken workflows, and build 1-2 production automations that your team uses every day.
Regular Price
$12K–$18K
Fixed-scope engagement, dedicated team
Includes
Your outcome: 2 automations live. Your team saves 8-10 hours per week. Processes that were manual now run while you sleep.
You're running on Excel, email threads, and tribal knowledge. Nothing is documented. No one person knows the full picture. We design and build a complete operational system from the ground up — data architecture, workflows, automations, intelligence layer, the works.
Regular Price
$35K–$60K
Comprehensive engagement, dedicated team
Includes
Your outcome: A live operational system. Your team stops being the database. Data centralized. Workflows automated. Systems thinking embedded in your org.
Sometimes the work spans two engagement types — a full custom build for one department, then direct integration into your existing ERP or CRM so the new and old systems run together. Common in larger organisations with established tooling in some parts of the business and nothing in others. Scoped individually.
Fast-Track Opportunities
Four narrow, specific problems where AI automation saves hours every single week. Fixed scope. Clear outcomes. Integrated into your workflow from day one.
The problem: You send 50 one-off emails per week, each one manually customized. It's boring work that takes 10+ hours. An AI can do it in seconds.
Outcome
10+ hours/week freed up
= $500–$2K/mo in labor at your hourly rate
Delivers:
Delivery: Fixed scope
Budget: $3,997
The problem: You reconcile data between systems every morning — accounting, orders, inventory. It's tedious, error-prone, and takes 4–6 hours per week.
Outcome
4–6 hours/week eliminated
100% accuracy, flagged exceptions only
Delivers:
Delivery: Fixed scope
Budget: $4,997
The problem: You manually extract data from 200+ invoices, contracts, or forms per month. Someone is sitting there typing amounts and dates. That's 8–12 hours of work.
Outcome
8–12 hours/month freed
98%+ accuracy on data extraction
Delivers:
Delivery: Fixed scope
Budget: $4,997
The problem: You manually compile 5–10 daily/weekly reports from different data sources. Every morning someone builds the same report. That's 5–8 hours per week of pure data gymnastics.
Outcome
5–8 hours/week automated
Reports in your inbox every morning
Delivers:
Delivery: Fixed scope
Budget: $3,997
All four are fixed-scope, fully integrated. Ready to skip the dead zone entirely and go straight to Level 3 automation.
Start Your Automation AuditEvery AI project that actually delivered ROI started with a boring infrastructure cleanup. Not the model. Not the tooling. The data and processes underneath.
AI doesn't create operational clarity — it requires it. If your data is fragmented, your processes are undocumented, and your team is still reconciling reports manually, layering intelligence on top makes things more complicated, not less.
The AI Implementation Spectrum
There are three distinct levels of AI maturity. Most organizations spend months and thousands at Level 1, hit a wall, and never progress. Level 3 is where real ROI lives.
What it looks like:
The Problem: Every person is a bottleneck. Nothing happens overnight.
What it looks like:
The Problem: Companies get stuck here. Months pass. Budget consumed. Little ROI. No path forward.
What it looks like:
The Win: 100X capacity. Real ROI. Ready to scale. This is where operational maturity leads.
The Path: Most organizations start at Level 1, spend months in the Level 2 dead zone, and never make it to Level 3. We skip the dead zone entirely. Your team goes from manual chat work straight to Level 3 automation running on autopilot.
Your AI Automation Team
Are your nights spent hand-holding ChatGPT or Claude? You’re in the ‘Chat-to-Autopilot’ trap, burning hours on work that should take minutes. Or maybe you’re eyeing an AI pilot but concerned it won’t deliver real ROI. Either way, you need solutions that scale. Real impact means Level 3: AI that runs overnight, integrates into your workflow, and supercharges your capacity 100X.
This is Level 3 AI: engineering, operations, and transformation combined. Skip the six-month hiring cycle and the $50K gamble on a failed Level 1 pilot. Get a proven team in just eight weeks.
Focused Engagement
10 Hours/Week for 8 Weeks
Transform 2–3 of your manual chat workflows or stalled AI projects into fully automated, integrated Level 3 powerhouses.
Gates & Guarantees
Gate 1
Free Audit & Assessment
Zero commitment. We map your opportunities.
Gate 2
2-Week First Agent + Money Back
See real results. Full refund if unsatisfied.
Gate 3
Decide After Results
You choose: expand to full engagement or stop.
Translation: Risk is entirely on us. You see proof of concept early. If it works, keep going. If not, you’re out nothing.
Your 8-Week Level 3 Sprint
Beyond the Sprint
You’ll have a live Level 3 automation system—overnight execution, scalable impact—and a clear roadmap for growth. Scale predictably with repeatable sprints and unlock a 100X capacity boost.
Free audit. Prove it early. Money back if unsatisfied. You decide after seeing results.
What We Automate
Every automation is fixed-scope with a clear outcome. Pick the function where the manual work is costing the most — or book a call and we’ll map it together.
When your sales team is doing data entry, chasing follow-ups, and updating CRM records instead of selling — that’s recoverable time.
When invoicing, approvals, reconciliation, and reporting happen in spreadsheets and email threads — the risk of error and the cost of time compound every month.
When your marketing team spends more time scheduling, reformatting, and manually publishing than it does on strategy — automation gives that time back.
When your support team is buried in repetitive tickets and your CS team is manually tracking health signals that should surface automatically.
When hiring, onboarding, and people operations run on email threads and spreadsheets — every stage has avoidable work that automation can absorb.
What Clients Walk Away With
Every engagement ends with something your business can operate on immediately. Here's what that looks like in practice.
Pulls product usage, support history, and billing data into one score. Sales sees who's ready to buy and who's about to churn — inside the CRM they already use. No new tool to learn.
New signup triggers a classification step. Solo user gets one flow. Team admin gets another. Enterprise buyer with a procurement layer gets a third. All automated, all tracked.
Reads the ticket, checks the user's account data, and either resolves it or routes it to the right person with full context attached. Your support team handles judgment calls, not "have you tried restarting?"
An agent that pulls from your CRM, product analytics, and billing system every Monday morning — and delivers a formatted briefing with the numbers that actually matter, the changes from last week, and what needs attention.
CRM records, product usage events, billing history, and support tickets — all in one place, deduplicated, with a single customer ID. Every team looks at the same data.
Trained on your actual data — login frequency, feature adoption, support tickets, payment failures. Flags at-risk accounts while there's still time to intervene, not after they've already cancelled.
What We Cover
AI models are only as good as the data they can query. If your business information lives in spreadsheets, siloed tools, and email threads, no model will make sense of it. We build the data layer that unifies everything — structured, accessible, and actually queryable.
Clean, centralised data that AI can actually reason about
We don't start with the model. We start with what the model needs to work on. Every AI project that failed started with skipping this step.
Most businesses automate the wrong things — or automate broken processes and just make them faster. We map the workflow first, fix what's broken, then remove the manual steps that eat your team's week without adding any judgment value.
Your team works on judgment, not admin
Automation built on undocumented processes breaks constantly. We fix the process first — then automate it so it holds.
AI agents make decisions autonomously — qualifying leads, triaging support tickets, generating briefs, flagging anomalies. But they only work when they have access to clean, structured data and a well-defined scope. We build agents that survive contact with your real operation.
Agents that make the right calls — inside the tools your team already uses
We don't build agents that need a separate interface. We embed them in your existing workflows so the output lands where your team already works.
Your stack has a CRM, a billing tool, a product analytics layer, and a support platform — none of which talk to each other properly. Your team copies data between systems by hand. We connect them so the information flows, deduplicates, and arrives where it's needed without anyone pushing it.
One connected stack — no manual reconciliation
When your systems talk to each other, your team stops spending half their week copying things between them. The data arrives where it's needed automatically.
Churn risk, lead quality, pipeline health — the metrics that matter most are the ones that tell you something is about to happen before it does. We build predictive models on top of clean data so your team can act early instead of responding late.
Flagged before it shows up in a report — not after
Predictive scoring on clean data changes how your team operates. Instead of reacting to last week's numbers, they act on next week's signals.
You can't automate a process you haven't documented. And you can't document a process you don't fully understand. We map your operation end-to-end — how decisions get made, where information moves, what breaks — before anything is automated or built on top of it.
A mapped, documented operation that automation can actually hold
Process mapping is boring. It's also what separates AI projects that deliver from ones that break in month three. We do it first — every time.
How an Engagement Runs
We map your current operation: where data lives, how decisions get made, what's manual that shouldn't be. By the end of the call you know which engagement type fits and what the first piece of work looks like.
A structured audit of your processes, data structure, and existing tooling. We identify the gaps, document the current state, and produce a prioritised build plan. This is what we work from — nothing gets built without it.
We build against the plan. Regular check-ins with your team at each milestone. You see progress throughout, not just at the end. Scope changes require a conversation — nothing goes out of bounds quietly.
Full documentation. A working system your team can maintain. If the engagement includes ongoing AI logic, we define the monitoring and feedback loop before we close out — so it improves with use and doesn't degrade quietly.
Who This Is For
Who You’re Working With
No account managers, no junior handoffs. Jake runs every engagement directly — from the first scoping call through to handover — because that’s the only way to guarantee the work is actually right.
What We Commit To
Every engagement is backed by these commitments, written into the scope document before anything is built.
You'll know exactly what's broken and why before a line of code is written. The diagnostic is included in every build engagement — no guesswork, no surprise scope.
What's in the scope document is what gets built. Price agreed upfront. No scope creep, no surprise invoices. If requirements change, we agree the change in writing first.
If your infrastructure isn't ready for AI, we'll tell you that upfront — before you spend on intelligence that won't perform on a broken foundation.
Every engagement ends with full documentation and a handover session. Your team will own what we built from day one — not dependent on us to keep it running.
Common Questions
Tell us where your operation is today. We’ll map the bottlenecks, identify which engagement type fits, and tell you honestly whether we’re the right people to do it.
No pitch. No questionnaire. A diagnosis of your operation and a clear first step.