Question 1

What does BrightBit Digital actually build?

Accepted Answer

We build agentic AI solutions: autonomous AI agents that reason and act across your tools, MCP server integrations that connect AI models to your APIs and databases, multi-agent orchestration systems for complex workflows, and custom LLMs fine-tuned on your proprietary data. Every solution is custom-built - we don't resell off-the-shelf tools.

Question 2

What is agentic AI and how is it different from chatbots?

Accepted Answer

Traditional chatbots respond to questions. Agentic AI takes action. An AI agent can research a topic, draft a report, pull data from your CRM, update a spreadsheet, and email the result - all autonomously. It reasons about goals, plans multi-step approaches, uses tools, and handles errors.

Question 3

What is the Model Context Protocol (MCP)?

Accepted Answer

MCP is an open standard created by Anthropic that lets AI models connect to external tools, APIs, and data sources in a standardised way. We build custom MCP servers that let AI agents interact with your specific systems: CRMs, databases, internal APIs, file storage, and more.

Question 4

How much does a project cost?

Accepted Answer

It depends on scope. AI agent pilots typically start from a few thousand pounds. MCP integrations and agentic workflow systems scale with complexity. Every engagement starts with a free demo so you can see the value before committing any budget.

Question 5

How long does it take from kickoff to live?

Accepted Answer

AI agents: 2-6 weeks. MCP server integrations: 2-4 weeks. Multi-agent orchestration: 4-8 weeks. Custom LLM solutions: 4-12 weeks. Every project begins with a discovery phase that defines exact timeline and milestones before you commit to the full build.

Question 6

Can your agents integrate with our existing tools?

Accepted Answer

Yes - that's the core of what we do. We build MCP servers that connect AI agents to Salesforce, HubSpot, Slack, Gmail, WhatsApp, databases, internal APIs, and any platform with an API. The Model Context Protocol provides standardised, secure access to every tool in your stack.

Question 7

Is our data safe?

Accepted Answer

Yes. All solutions are built with enterprise-grade security: end-to-end encryption, human-in-the-loop guardrails, GDPR-compliant data handling, and audit logging. Your data is never shared with third parties. We offer on-premise deployment for businesses with strict data residency requirements.

Question 8

Why use an agency instead of building in-house?

Accepted Answer

Speed, cost, and expertise. The agentic AI space moves fast - new models, frameworks, and standards every month. We've already built the infrastructure, solved the common pitfalls, and shipped production agent systems. A project that takes an in-house team 3-6 months, we ship in 2-6 weeks.

Question 9

Do you work with businesses outside the UK?

Accepted Answer

We're UK-based and most of our clients are UK businesses, but we work with companies anywhere in the English-speaking world. All our systems handle international data compliance requirements and distributed teams.

Luca

What Is Agentic AI? Meaning, Examples, and How It Works

Agentic AI vs Generative AI: What's the Difference?

What Is an MCP Server? The Model Context Protocol, Explained

AI Chatbot vs Traditional Chatbot: Which Is Right for You?