We bring structure to chaotic business processes.
Deep AI and automation expertise. We listen first, then turn fragmented, manual work into clear systems: correct input, correct output, every time.
Make.com Gold Partner. n8n Certified. Automating client operations since 2018.
- PO matched to invoice Accounting
- Invoice 1042 parsed and filed QuickBooks
- Sheet and CRM kept in sync HubSpot
- Ticket triaged, SLA set Helpdesk
- Lead enriched, owner assigned CRM
- Approval requested, tracked Slack
- Weekly report sent at 08:00 Client inbox
- Order 4471 synced ERP
- Onboarding steps run in order Asana
- Refund routed for approval Stripe
- Lead assigned to its owner CRM
- Renewal reminder scheduled Calendar
Before we build anything, we read your business.
Most automation projects start with a tool and go looking for a use. We start with the work. The Automation and AI Opportunity Audit is a fixed-price first step: we map how your company actually runs, price every opportunity in dollars, and tell you where to start and where not to. Estimates are conservative and always assume a person stays in the loop.
$2,000 fixed price
Start with a short intro call. If it fits, the audit is the first paid step.
Book the auditFive lenses on every business
- 1
Process inventory
What repetitive work exists, who does it, how often, how long.
- 2
Opportunity scoring
What is worth automating first once effort, risk and payback count.
- 3
AI readiness
Whether ownership, data and governance can carry AI safely.
- 4
Automation health
Whether today's automations are reliable, owned and worth the cost.
- 5
Data and systems map
Where data lives and which flows are still manual or broken.
What we listen for
People can rarely name their bottlenecks, but they recognise them. These are the patterns that usually point to money.
- Data copied by hand from one system to another
- A spreadsheet doing the job of a database
- "Someone checks it every morning"
- The same email written again and again
- Work that stops when one person is on holiday
What the report looks like
A live report, not a slide deck. This one is an invented example to show the format: start on the process map, then open the opportunities, readiness and health views.
Closed deal to cash Finance, 60 invoices per month, rebuilt from CRM, accounting and email timestamps
- Average days, deal won to paid
- Hands-on hours per month
- Invoices corrected by hand
Paths cases actually take. Select one to trace it.
Built the way process mining works: every step is a timestamped event, every line is the share of cases that moved from one step to the next. Illustrative figures. The map shows the full effect of automating this process, which matches the Expected estimate on the Opportunities tab; that tab defaults to the lower Conservative estimate. In a real audit we draw this from your own systems or from walking through recent cases with your team.
- Hours freed per month
- 0
- Value per month
- $0
- Value per year
- $0
- Payback, top three
- 0 mo
Value = volume x minutes saved x share that can be automated, divided by 60, times the hourly cost of the work. Top three by first-year return are marked as quick wins. Each quick win has a fixed build price, agreed before you commit.
- Ownership2 / 5
No named owner for automation or AI decisions
- Data3 / 5
Core records in the CRM, finance data still in sheets
- Systems4 / 5
Modern SaaS with APIs, easy to connect
- Governance2 / 5
No usage policy, staff already use AI tools on their own
- Skills3 / 5
A few daily users, no internal champion yet
- Process clarity2 / 5
Key processes live in people, not in documents
Total 16 of 30: start with rule-based quick wins and AI-assisted steps with human approval. No autonomous agents yet.
Existing automations work most days but fail quietly and depend on one person. Fix these before adding more.
- Error rate, last 30 daysHealthy is under 2%. Two scenarios cause most failures.3.8% (watch)
- Silent failuresNo error handler and no alert. Nobody knows when they stop.5 scenarios (at risk)
- Unused scenariosNot run in 30 days. Candidates to retire.4 (watch)
- CredentialsConnections owned by a former employee and a freelancer.3 personal (at risk)
- Plan usageUnder the 70% line, room to grow.62% (healthy)
- People who understand itOne person holds the knowledge. A holiday is a risk.1 (at risk)
- Month 1
Quick wins
Build the top three opportunities. Name an owner for automation. Agree success measures.
Call notes into the CRM, Lead intake and routing, Weekly KPI report
- Who
- You name one owner, we build
- Effort
- $5,100 fixed build price
- Result
- About 36 h per month freed
- Month 2
Next opportunities
Build opportunities four to six. Review the first three against the savings in this report.
Order status updates, Employee onboarding, Payment reminders
- Who
- Your owner reviews, we build
- Effort
- $6,300 fixed build price
- Result
- About 32 h per month freed
- Month 3
Governance and scale
AI usage policy, access and credentials cleanup, monitoring so failures are caught early.
- Who
- Your owner decides, we advise
- Effort
- Included in the audit scope
- Result
- Failures caught early, no single point of knowledge
Automation and AI Opportunity Audit
$2,000
Fixed price. Two short working sessions with your team. We confirm the time needed on the intro call.
What you receive
- Ranked opportunity table with hours, dollars, effort, risk and payback
- Three quick wins, each with a fixed build price and timeline
- AI readiness scorecard and the governance gaps behind it
- Health check of your Make.com or n8n automations, if you run them
- 90-day roadmap you can hand to any team
The report is yours to keep. If a quick win is worth building, we build it at the price in the report. If not, you have a plan any team can execute.
Every run, counted
Automations built by us, running for our clients right now. Lead outreach sent, payrolls calculated, orders fulfilled, reports generated. Figures are modelled from our audited workflow inventory and update continuously.
How we calculated these numbers
Hours saved per month, across all clients
15 000h
Approximate, rounded across all active client automations.
- Executions today, since midnight UTC
- —
- Executions in November 2026
- —
- AI agent runs this month
- —
- LLM tokens this month
- —
- All-time executions since May 2018
- —
Beyond the AI hype: real systems that compound
Most companies experiment with AI. We build the infrastructure that makes it stick. Automation that runs around the clock, integrations that hold, and workflows that scale with you.
-
Sales and CRM automation
Lead routing, follow-up sequences, pipeline hygiene and deal intelligence. Your team closes, the system handles the rest.
-
Marketing operations
Campaign triggers, audience segmentation, content distribution and attribution reporting wired together without manual intervention.
-
AI agent workflows
Multi-step agents that research, draft, classify and act, integrated into your existing tools through Make.com and n8n.
See how agents fit your process -
Data and reporting
Unified pipelines from every tool in your stack, and live dashboards that give leadership the numbers they need.
-
HR and operations
Onboarding flows, approval chains, document generation and internal notifications. The operational backbone that frees your team.
-
Customer service
AI-assisted ticket routing, knowledge base search, escalation logic and CSAT tracking that keeps support lean and responsive.
Exceptional partnership, measurable outcomes
AI-first business process automation
We integrate AI directly into your business processes, creating systems that improve over time. Repetitive tasks go away, and your team gets sharper insight and better decision tools.
We specialise in sales pipelines, marketing campaigns, HR processes, customer service and financial operations.
- Sales
- Marketing
- Operations
- Finance
- HR
Integration across your whole stack
Our method ties every automation to a specific business challenge and growth goal, so the result fits how you actually work.
We connect your CRM, ERP, marketing tools, databases and custom APIs into one coherent system, with no data silos.
Review your stack with usScalable growth, boutique service
AI goes into your existing processes without disruption, and the workflows you scale strengthen human decisions instead of replacing them.
Architectures stay flexible as technology changes. We build them to last, not just to demo.
Get your AI roadmap
- 1New lead captured
- 2AI enrichment and scoring
- 3CRM updated, rep notified
- 4Follow-up sequence started
Field notes from live builds
All articlesAirtable as an Operations Database: When It Works at Scale (and When It Breaks)
Airtable as an operations database hits real limits at scale — record caps, a 5 req/sec API ceiling, and slow joins. Here is where it holds and breaks.
Anton Potorochin, 10 min read
-
Is n8n Production-Ready? A Technical Assessment for Enterprise Teams
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AI Voice Agents for E-commerce: The Post-Purchase Automation Opportunity Nobody Is Building
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Make.com Pricing at Scale: What the Calculator Doesn't Show You
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Building an AI Competitive Intelligence Agent: Architecture Behind Always-On Monitoring
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The Enterprise AI Adoption Playbook: Why Most AI Pilots Never Reach Production


