AI Implementation for Marketing Agencies

Most agencies are somewhere between curious and overwhelmed when it comes to AI. Everyone knows it's useful. Fewer know which problems are worth solving with it, which model fits which use case, and how to build something that works reliably rather than impressively in a demo and nowhere else.

The agencies pulling real value from AI aren't experimenting with prompts. They've turned specific, repetitive, high-cost problems into automated workflows, custom tools, and client-facing applications that run without manual management.

We build those. Custom AI chatbots, automated workflows, client-facing apps, and lead enrichment systems using Claude, ChatGPT, and Gemini, depending on what each project actually needs.

What we build for you

AI Chatbots

A chatbot that genuinely helps users is not a FAQ page with a chat window on top. It understands context, handles follow-up questions, routes conversations correctly, and doesn't fall apart when someone asks something slightly off-script.

We build chatbots around the specific job they need to do. Lead qualification bots that ask the right questions, score responses, and hand off to a sales rep only when a prospect meets the criteria. Client-facing support bots are trained on your documentation and service details so clients get immediate answers instead of waiting for your team. Onboarding bots that walk new clients through setup, collect information, and populate your CRM without a human touching it.

Model choice depends on the use case. Claude handles nuanced, longer conversations well and is strong for anything requiring careful professional tone. ChatGPT performs well on structured, task-focused interactions. Gemini integrates natively with Google Workspace when a client's stack is built around it. We pick based on what the project needs.

AI Workflows

Repetitive tasks that involve reading, writing, classifying, or transforming information are exactly what AI handles well. We build automated workflows that take those tasks off your team's plate entirely.

Content workflows that take a brief and produce a first draft across multiple formats. Reporting workflows that pull data from multiple sources, generate written summaries, and deliver them to clients on a schedule. Classification workflows that sort incoming leads, support requests, or form submissions by type and route them to the right place. Document processing workflows that extract structured data from contracts, briefs, or intake forms and push it into your CRM or project management tool.

We build these into your existing stack rather than adding another system to manage.

AI-Powered Apps and Tools

Sometimes a workflow isn't enough, and the problem needs a proper interface. We build custom AI applications using Claude, ChatGPT, or Gemini APIs as the engine.

Client-facing reporting tools where clients ask questions about their own data in plain language and get answers without reading a dashboard. Internal tools for your team: brief generators, creative review assistants, campaign naming tools, and audience research apps. Proposal generators that take a client brief and produce a structured first draft your team refines rather than writes from scratch. White-label AI tools you offer to clients as part of your service stack.

These are built around specific workflows with specific inputs and outputs, which is what makes them useful day to day rather than just interesting to show.

Lead and Company Enrichment

A lead comes in with a name, email, and company. Before anyone can have a useful conversation, someone needs to research the business, understand what it does, estimate its size, identify likely pain points, and decide whether it's worth pursuing. That research takes time, and it happens for every lead.

We build AI enrichment pipelines that do it automatically. When a lead hits your CRM, the pipeline pulls publicly available company data, runs it through an AI model, and writes a structured summary: what the company does, their likely budget range, relevant pain points based on industry and size, and talking points for the first call. Your team opens a lead record, and the research is already done.

For existing clients, we build account-monitoring workflows that track relevant news, funding announcements, hiring signals, and product launches, and surface them in your CRM or Slack so your team can reach out at the right moment.

Choosing the right model

Claude, ChatGPT, and Gemini are all capable but not identical. Claude handles complex reasoning and longer documents particularly well. It's the model we reach for when nuance and tone matter. ChatGPT has the broadest integration ecosystem and performs well on structured, defined tasks. Gemini is the practical choice when a client's stack runs on Google Workspace.

We're not fixed on any one model. We test against the specific use case and use what produces the best output for that application. Some workflows use more than one model for different steps.

What this does for your agency

The work AI is worth automating is the work that's high-volume, low-variation, and currently eating your team's time. Research, first drafts, lead triage, reporting summaries, and client onboarding steps. Removing that overhead lets your team focus on the decisions and relationships that actually require human attention.

Well-implemented AI makes your agency operate more leanly and your service feel more capable. Done badly, it creates tools nobody trusts and workflows that need babysitting. We build the kind that works.

SmartMetrics already integrates AI into our client portal platform, including AI-powered chat and automated Slack reporting. AI tools we build for your agency can plug directly into that infrastructure or run independently, depending on your setup.