Customer Support Agents
Autonomous agents that handle inbound queries, resolve tickets, and escalate intelligently — reducing support costs by up to 60%.
- GPT-4o
- Claude 4.5
- Zendesk API
Sales & Lead Agents
Qualify inbound leads, book discovery calls, and nurture prospects through multi-step sequences — without human intervention.
- LangGraph
- CRM integration
- Stripe
- Calendly
Operations Agents
Automate internal workflows: invoice processing, compliance monitoring, data extraction, and multi-system orchestration.
- n8n
- CrewAI
- AutoGen
- Zapier
Data & Reporting Agents
Agents that aggregate, analyse, and surface insights from multiple data sources — delivering dashboards and alerts automatically.
- LangChain
- Python
- GA4 API
- Looker Studio
Discovery
We map your workflows, identify automation opportunities, and define the agent's decision boundaries and escalation paths.
- Workflow audit
- ROI modelling
- Data source mapping
- Risk assessment
Architecture
We design the agent system: LLM selection, memory strategy, tool integrations, and fallback logic.
- LLM selection
- Tool design
- Memory & context
- Human escalation paths
Build & Test
We build, evaluate, and red-team the agent before it touches production data.
- Agent development
- Evaluation suite
- Safety testing
- Staging environment
Deploy & Monitor
We launch with full observability — tracing every decision, measuring every outcome, iterating continuously.
- Production deployment
- Observability
- Performance dashboards
- On-call support
What is an AI agent?
An AI agent is software that can plan, decide, and execute multi-step tasks autonomously — unlike a chatbot that just answers questions. It can browse the web, call APIs, read documents, and trigger actions in other systems.
How is an AI agent different from a chatbot?
A chatbot responds to a single message. An AI agent executes a sequence of actions to achieve a goal — for example, receiving a support request, checking a database, drafting a response, escalating if needed, and logging the outcome.
How much does it cost to build an AI agent?
Scope determines cost. A focused automation — for example, a WhatsApp booking agent — typically runs £3,000–£8,000. A multi-agent system with complex integrations ranges from £15,000–£45,000. We scope every project in writing before development begins.
How long does it take to deploy an AI agent?
Focused agents ship in 2–4 weeks. Full multi-agent systems take 6–12 weeks from signed contract to production. Scoping adds 1–2 weeks at the start.
Which AI models do you use?
We select the right model for each task — GPT-4o for general-purpose agents, Claude 4.5 for document processing and nuanced reasoning, Gemini 2.5 for multimodal tasks. We build model-agnostic systems wherever possible to avoid vendor lock-in.
We design and build digital products that move fast and feel right. Strategy, design, and engineering — under one roof.
Echoflicks
Hacienda de Samotracia
APM
Audra
Inmobi
SettleU
Insourceful
D-couple
KAUFAST
