Do we need a technical team to start?

No. Most Spark AI work is no-code or low-code. We set the tools up, train the people who will use them, and leave you with a simple way to keep going.

How is Spark AI different from Spark Technologies?

Spark AI is the business and SME side of the Spark ecosystem — products, agents, automation, consulting and training for growing companies. Spark Technologies looks after enterprise and industrial AI. If you are unsure which door to use, start the assessment. We will point you correctly.

How quickly will we see a result?

Most teams leave the first engagement with one live automation and a short list of the next three. Workshops produce usable workflows the same week. Custom products are scoped in days and typically reach an MVP in weeks, not a year.

Will AI replace our people?

We design for the work nobody enjoys: chasing, re-typing, first-pass screening. Your team keeps judgement, relationships and the decisions that need a name on them.

What tools do you work with?

The ones you already have whenever we can — CRMs, WhatsApp, Google Workspace, Notion, HubSpot — plus models from OpenAI, Anthropic and Google, and automation layers like Make and Zapier. Custom builds when a product will not stretch.

What does the AI Assessment include?

A short, guided look at your team, your time sinks and your goal. You get a recommended starting path — product, automation, training or a custom build — and the option to talk it through with us.

The modern AI operating

Intelligent Automation for Modern Businesses.

From vision to results – practical AI that scales with your business. Training, automation, and tools designed to perform.

Request a demo

Systems deployed for growth companies and SMEs across the region

Wired into the stack your team already runs

Slack

Gmail

HubSpot

Salesforce

Pipedrive

Notion

Sheets

Workspace

Make

Zapier

n8n

OpenAI

Anthropic

Gemini

Slack

Gmail

HubSpot

Salesforce

Pipedrive

Notion

Sheets

Workspace

Make

Zapier

n8n

OpenAI

Anthropic

Gemini

Choose the Outcome. We Build the System.

Six outcomes. Deploy the one that matters most — then expand.

Revenue OS

Build a predictable revenue engine. Combine inbound, outbound, CRM, lead intelligence, qualification, nurturing, appointment setting and analytics into one AI-powered revenue infrastructure.

Lead capture
Lead enrichment
AI qualification

Explore Revenue OS

01Capture

1 / 6

Jay Larik on work already running in client teams.

A short walkthrough of the systems — and the hours they returned.

1,000+: Hours saved
1,200%: Typical ROI

The shift

From AI Tools to AI Outcomes

Most AI work stops at recommendations, pilots and disconnected tools. A system is different: it runs, it integrates, and it reports on business metrics.

We don't start with the technology. We start with the business outcome.

01Tools

Typical spend

Traditional AI agency

No running return

AI strategy
Workshops
Chatbots
Automations
Individual tools
One-off development

What a typical pilot leaves running

Strategy, workshops and disconnected tools spend the budget. Nothing operates in the business the next morning.

Money back in the operation

Spark AI

Savings in production

Business outcome
Complete AI system
Multiple coordinated agents
Workflow orchestration
Business integrations
Human + AI execution
Continuous optimisation
Measurable KPIs

0%
Time back on repeat work
0%
Less finance intake load
≤0%
Lower vendor / ops cost

70% and 80% from deployed systems. Up to 25% from procurement cost on quotes. Verified figures live in case studies.

Why Spark

Built for results — not experiments

We don't start with the technology. We start with the business outcome.

01
A system — not another pilot
Most AI work stops at recommendations and disconnected tools. A Spark system runs, integrates, and reports on business metrics.
01Pilot
01/06|Pilot·Slide decks · demos
02
From assistants to agents
Agents monitor events, decide the next action, execute workflows and involve humans when judgment is required.
01Event
01/06|Event·Lead · ticket · signal
03
Humans where judgment matters
You get the system, the agents, specialist operators and ongoing optimisation — not another SaaS to manage.
01System
01/06|System·Operating layer
04
Measure in business metrics
Revenue, conversion, hours automated, cost reduced, response time and capacity — not demos.
01Deploy
01/06|Deploy·System live

From the floor

See all highlights

Human + AI delivery model

Humans where judgment matters. Agents where speed compounds.

Spark provides the system, the agents, the specialist operators and the ongoing optimisation — so you get the business result, not another tool to manage.

01Systems

01/06|Systems·Operating layer

The equation

AI systems

Agents

Human operators

Optimisation

RESULT

= Outcome-as-a-Service

You get the business result — not another tool to manage.

How delivery works

01
Deploy
We implement the AI system inside your business.
01Scope
01/06|Scope·Outcome & KPI
02
Operate
Spark continuously manages and optimises it.
01Monitor
01/06|Monitor·Live signals
03
AI + Human Pod
Technology and specialist operators work together to deliver the outcome.
01Signal
01/06|Signal·Work arrives