We bring you customers.

One senior team. The whole growth stack.

Most companies stitch together an agency, a dev shop and an AI consultant. We are all three — so strategy, engineering and performance answer to the same number: revenue. 76 services across six practice areas.

• Performance Marketing, Growth & Retention — High-intent capture · performance funnels · conversion engineering.
• Web & Software Development — Production Next.js, custom ERP and mobile systems built to scale.
• AI Development & Automation — Autonomous agents, RAG, fine-tuned models and workflow automation.
• SEO & Answer Engine Optimization — Technical SEO, AEO for answer engines and entity-level strategy.
• Cloud Infrastructure, Security & DevOps — GCP / AWS / Vertex · observability · SOC2-ready infrastructure.
• Content & Brand — Video, copy and brand systems engineered for measurable lift.

Explore all services

AI that leaves the pilot stage and starts paying for itself.

Most companies don't have an AI problem. They have a production problem: pilots that never ship, agents nobody trusts, and no number that moved. Each programme starts at your costliest bottleneck, ships one measured system on your stack, and is judged against a baseline your finance team can read.

AI Operations

Your team is buried in repeat work. Automate repetitive knowledge work without replacing your existing stack.

30–50% less manual handling in suitable workflows · First production workflow in 4–8 weeks

• Support resolution
• Document processing
• Internal knowledge assistants
• CRM and back-office workflows

Find my best automation

Voice Revenue Agents

Leads call, and nobody picks up. Answer, qualify and book every inbound lead — 24/7 — with contextual human hand-off.

<600ms end-to-end response latency · Production pilot in 2–4 weeks

• Lead qualification
• Appointment booking
• Support triage
• Reactivation campaigns

Hear a live demo

AI Strategy & Delivery

Ten AI pilots, nothing in production. Turn scattered experiments into a prioritised roadmap, with senior delivery ownership.

7 days to a first deployable plan · Roadmap in 7 days, then weekly delivery

• Opportunity audit
• Build-versus-buy decisions
• Governance and security
• Weekly delivery leadership

Book a roadmap session

Your buyers ask ChatGPT first. Be there when they ask.

ChatGPT now shows ads across the EU, Croatia included. They sit below the answer, matched to what the buyer is asking right now. We plan, launch and measure them like paid search — working backwards from your buyers' questions.

Ads Manager setup and entity verification

ChatGPT Ads run through OpenAI's Ads Manager. We open or audit the account in your company's name, complete entity verification and billing with your team, and build a campaign structure that mirrors how your buyers ask — so reporting is readable from the first day.

The questions your buyers ask, mapped to placements

In Europe, ChatGPT Ads are matched to the topic of the conversation, not to a personal profile. So targeting starts with the questions your buyers ask an assistant before they buy. We map those questions, group them into topics and decide where a sponsored suggestion is genuinely useful — and where it isn't.

Creative written to sit beneath an answer

A sponsored line under ChatGPT's answer is read straight after a helpful reply, so it has to read as a sensible next step. We write short, specific creative for each topic, test variants in rounds and retire the losers on evidence rather than taste.

Conversions measured against your other channels

ChatGPT Ads are a young channel, so we measure them hard. Conversions are tracked into your analytics and CRM and compared with a baseline from the channels you already run, such as paid search — and budget moves to whichever produces customers at the better cost.

• 31 — European markets live, Croatia included
• Contextual — In the EU, matched to the conversation — not a profile
• Separate — Labelled, and kept apart from the answer itself

Source: OpenAI, August 2026

See the service

From first call to production in weeks, not quarters.

One senior team owns the outcome end to end. Open any step to see exactly what happens, what you get and what ends it.

01 · Diagnose (Week 1)

We find the money before we spend yours.

Most growth problems are not a channel problem. They are a leak somewhere between the first click and the closed deal. Week one is about finding it, sizing it and deciding — together — what is worth building first.

02 · Build (2–8 weeks)

Senior engineers. Your stack. Weekly proof.

No hand-off to juniors and no black box. The people who scoped the work build it, on your accounts and your infrastructure, and you see working software every week.

03 · Launch (Go-live)

Released against a baseline, not a hope.

Launch is a measured release, not a press day. We roll out in stages, compare against the baseline from week one, and keep people in the loop wherever judgement matters.

04 · Compound (Ongoing)

The second month should beat the first.

Most AI projects decay after launch. Ours are run, measured and improved — and every next system is built on the foundations of the last, so cost per result keeps falling.

Shipped work. The people who shipped it.

Case studies with the numbers behind them, and the senior team that owns every engagement — no hand-offs to juniors.

• Case studies
• The team

Scope it in five minutes. Get a real brief back.

Tell us the outcome, your industry, the services you're considering and your budget. You get a written strategy brief with a recommended stack and roadmap — not an autoresponder.

Start a project brief

Find the AI use case worth shipping first.

Pick a time below. In 20 minutes with a senior strategist, you’ll leave with the strongest revenue or operational opportunity, the systems it has to connect to, and a clear next step — whether or not we work together.

• 20 minutes · focused and practical
• Founder-led · senior technical perspective
• No obligation · no generic sales deck

Playbooks for your market.

Every industry has its own buying cycle, regulation and channel mix. We start from what already works in yours — not from a blank page.

• Financial Services & Fintech — Unlocking Financial Growth Through Intelligent Systems & High-Velocity Acquisition.
• Healthcare — Patient Acquisition, Clinical Efficiency & Secure Digital Health.
• AI SaaS — Deployment, Growth & Monetization of Intelligent Agents.
• Web3 & Blockchain — Trustless Systems, Token Growth & Community Velocity.
• SaaS — Scalable Architecture, PLG Velocity & Enterprise Revenue.
• Media & Entertainment — Hyper-Scale Distribution, AI Personalization & Ad Revenue.
• Public Sector & Gov — Secure Infrastructure, Citizen Trust & Digital Efficiency.
• E-Commerce — High-Velocity Transaction Engines & ROAS Optimization.
• Real Estate — Immersive PropTech, Digital Twins & High-Quality Leads.
• Retail — Phygital Ecosystems, Unified Commerce & Customer Lifetime Value.
• Services — Automated Client Acquisition, Onboarding & High-Ticket Sales.
• Logistics — Supply Chain Visibility, Route Optimization & Fleet Efficiency.

Field notes from the build. Read the playbooks.

Case studies, AI architecture deep dives and growth playbooks — the same methods we use with clients, written down.

• How a private RAG concierge cut a FinTech's support cost 47% — A step-by-step breakdown of the retrieval architecture, model routing, and guardrails that turned a drowning L1 support queue into a 92% first-contact-resolution engine — in eight weeks.
• The AI acquisition playbook: cold traffic to booked demo in 9 steps — The exact funnel architecture we deploy for AI-native companies — intent capture, qualification, and an autonomous follow-up loop that turns anonymous clicks into qualified pipeline.
• RAG vs fine-tuning vs long-context: how to choose in 2026 — A decision framework for the three ways to give an LLM your knowledge — when retrieval wins, when fine-tuning is worth it, when a long context window is enough, and how to combine them.
• AEO in 2026: how to get cited by ChatGPT, Perplexity & AI Overviews — Answer Engine Optimization is the new SEO. Here is how to structure content, schema, and entities so large language models surface and cite your brand in their answers.
• Shipping sub-600ms voice AI: a production latency architecture — Why "fast" voice agents still feel broken, and the streaming, native-multimodal architecture we use to hold end-to-end conversation latency under 600 milliseconds.

What IQDigital provides

IQDigital designs, deploys and operates production AI and growth systems for European businesses. Engagements are founder-led, integration-aware and built around measurable operational or commercial outcomes.