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Automate the work between the work

We design AI-powered workflows that understand information, make bounded decisions, connect your systems and route exceptions to humans. Work that used to wait for a click, a copy-paste or an approval now runs itself, with guardrails.

Specimen: Automation

The practice.

Between every pair of systems in your company sits work nobody was hired to do: re-keying invoices, chasing approvals, updating the CRM after the call, assembling the report from four tabs. AI automation is the engineering discipline that removes that work. It connects intelligence, business rules, data, applications and human approvals into workflows that actually execute, not chatbots that talk about executing.

We connect AI to the systems you already run. Your CRM, ERP, email, documents, spreadsheets and internal tools stay exactly where they are; the automation layer reads and writes through their APIs, makes the decisions you have bounded it to make, and hands the exceptions to a human with full context. Sales, marketing, support, finance, operations, HR, onboarding, reporting: the processes cross departments, so the automation does too.

The principle

No-code where it is sufficient.

Custom engineering where it is necessary.

Both when that creates the best system. That is automation engineering, not tool setup.

Also in the practice

Two kinds of automation.

Not every automation needs AI, and some should never run without it. Knowing which is which is the engineering.

Rule-based

Workflow Automation

Deterministic workflows that connect the business applications you already use. When this happens, do that: data moves, records update, notifications fire, reports assemble. No AI required, nothing unpredictable.

Example flow

  1. Lead form
  2. CRM
  3. Lead assignment
  4. Email
  5. Slack notification
  6. Follow-up
  7. Reporting

Intelligent steps

AI-Powered Automation

Workflows where AI performs the steps that need understanding: classification, extraction, generation, summarization, reasoning and decision support, bounded by confidence thresholds with human approval where it matters.

Example flow

  1. Incoming email
  2. AI classification
  3. Data extraction
  4. CRM lookup
  5. AI response draft
  6. Human approval
  7. Customer response

One workflow, end to end.

Trigger, process, intelligence, decision, action. This is the shape of most automation we ship: an original Savo view of a lead workflow, animated as it runs.
Specimen workflow: inbound lead
  1. New lead arrives (trigger)
  2. Data validated (process)
  3. AI qualification scores the lead (intelligence)
  4. CRM updated (action)
  5. Decision: qualified leads routed to a sales rep with follow-up; unqualified leads enter a nurture sequence
  6. Analytics: every step logged and measured

Where it pays first.

Seven departments, seven flows business owners recognise instantly. If a process looks like any of these, it can run itself.

Sales

  1. Lead capture
  2. Lead enrichment
  3. CRM
  4. Qualification
  5. Sales assignment
  6. Follow-up

Marketing

  1. Campaign trigger
  2. Audience segmentation
  3. Content & email
  4. CRM update
  5. Analytics

Customer Support

  1. Customer request
  2. AI classification
  3. Knowledge retrieval
  4. Suggested response
  5. Human escalation
  6. Ticket update

Finance

  1. Invoice
  2. Document extraction
  3. Validation
  4. Approval
  5. Accounting system
  6. Notification

HR

  1. Application
  2. Resume processing
  3. Candidate classification
  4. ATS
  5. Interview scheduling
  6. Notification

Operations

  1. Business event
  2. Validation
  3. Data processing
  4. System update
  5. Approval
  6. Reporting

E-commerce

  1. Order
  2. Payment verification
  3. Inventory
  4. Fulfilment
  5. Customer notification
  6. CRM & analytics

Your process here

Every business has one flow everyone tolerates and nobody enjoys. That is usually the first one we automate.

Map yours

Technology-agnostic, honestly.

n8n is an important tool in our stack, one of several. The platform follows your systems, team and governance needs, never our preferences.

Automation platforms

  • n8n
  • Make
  • Zapier
  • Microsoft Power Automate

Integration fabric

  • Webhooks
  • REST APIs
  • GraphQL APIs
  • Custom APIs

Data layer

  • PostgreSQL
  • Supabase

Business systems

  • Google Workspace
  • Microsoft 365
  • Slack
  • CRMs
  • ERPs
  • E-commerce platforms
  • Payment systems

Intelligence

  • OpenAI
  • Anthropic
  • Gemini

How the work runs.

Eight steps, the same every time. Automation earns trust through governance, not cleverness.

  1. 01 · Discover

    Identify repetitive processes, bottlenecks, manual handoffs and duplicated work across the business.

  2. 02 · Map

    Map triggers, systems, users, data, decisions and exceptions, with the people who run the process today.

  3. 03 · Design

    Design the automation architecture and decide where rules, APIs, no-code tools, custom software or AI should be used.

  4. 04 · Connect

    Integrate applications, APIs, databases and business systems. Nothing gets replaced, everything gets connected.

  5. 05 · Automate

    Build and test the workflows against real data and real edge cases before anything runs unsupervised.

  6. 06 · Govern

    Add permissions, approval gates, error handling, logging and human escalation for the steps that need judgment.

  7. 07 · Monitor

    Track workflow execution, failures, performance and business outcomes from day one, with alerting on anomalies.

  8. 08 · Optimize

    Continuously improve the automation as processes evolve, widening automation as trust earns.

Built to be trusted.

The difference between a script and a system is what happens when nobody is watching.

Security & governance

Access follows your existing permissions and infrastructure choices. Every workflow runs under explicit scopes: what it may read, what it may write, what it may never touch.

Human approval & exceptions

Approval gates and confidence thresholds are designed in, not bolted on. When a step is uncertain or high-stakes, the workflow pauses and hands a human the full context, then resumes.

Monitoring & audit trails

Every execution is logged step by step: what was read, what was decided, on what basis, who approved what. Failures alert immediately; the trail answers any auditor's question.

Asked about automation.

The questions buyers raise, answered plainly.

No. The automation layer connects through the APIs of the tools you already run, your CRM, ERP, mail, documents and internal apps. We integrate what works instead of demanding a migration.

It stops and asks. Every decision has explicit bounds and confidence thresholds; anything outside them routes to a human with the full context attached. The machine handles the routine, people handle judgment.

High volume, rule-shaped and currently eating someone's week: document intake, follow-ups, reconciliation, onboarding. We map your workflows and sequence by value delivered against effort, quick wins fund the deeper builds.

Every step is logged: what was read, what was decided, on what basis, who approved what. Access follows your existing permissions, data stays in your infrastructure, and the trail answers any auditor's question.

Business automation, frequently asked questions

Automation is never alone.

It lands next to the disciplines it serves: the software it extends, the agents it routes through, the growth it feeds.

Software & SaaS

When workflows outgrow no-code, the custom systems underneath are our home ground.

AI agent fleet

Agentic systems that reason over your data and tools, with automation as their hands.

Growth & SEO

Automation feeds growth: pipelines of content, data and measurement that never sleep.

Automate the work between the work.

Tell us the process and the systems it touches. We will say honestly whether it needs rules, AI, or both, and map the first workflow if it pays.

Meet the Fleet

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