AI Integration
AI for the work — not for the relationship.
Practical AI integrations that take the busywork off your team. Sales, support, content, and operations get automated so the people in your business have more time for the work only people should do — judgment, accountability, and the relationship you have with your customers.
The Capabilities
What AI Can Do for Your Business
AI is most useful when it's pointed at the right problem — and a poor fit when it's pointed at the wrong one. Not every business needs AI; if yours doesn't, I'll tell you. For the businesses where it does fit, the categories below are the work I deliver. Pick the ones that match where your business is leaking time, money, or attention. Each one is built with humans in the loop on the calls that matter, plain disclosure where customers are involved, and an honest answer about where the technology will and won't help.
Tailored roadmaps that show where AI can save time, win revenue, or remove cost. Each one comes with ROI projections, prioritization, and the implementation sequence. Plus team training so your people actually use the new tools, not just have access to them.
- AI readiness assessments and risk reviews
- Tool selection and rollout roadmap planning
- Prompt engineering and SOP training for your team
- Multi-agent system design for complex workflows
The Process
How AI Integration Works
Discovery
We start by mapping where time, money, and attention are leaking. What's manual that shouldn't be. What's slow. What customers are asking for that nobody's hearing. The output is a prioritized list of where AI actually pays off, not a wish list.
Strategy
From the discovery, we lock in the few highest-leverage projects, the order to ship them, integration with your existing stack, the KPIs we'll track, and a budget that ties to the ROI we project.
Build & Integrate
I build, integrate, and test. Tools wired into your CRM, email, calendar, and whatever else you already pay for. Real users in real workflows from week one. No big-bang launches that nobody adopts.
Optimize
Once it's live, the data tells us what's working and what to refine. Models retrained on real usage, prompts and workflows tuned, scope expanded into the next-priority projects on the roadmap.
Service Catalogue
What's actually inside the AI work — service by service.
The intro above is the headline; this section is the detail. Each category below covers what gets built, which tools end up in the stack, and what the realistic outcome looks like. If a category doesn't fit your business, I'll say so before you spend money on it.
01
AI Strategy & Team Enablement
Before any tools get bought or built, I map where AI actually pays back in your business — and where it doesn't. The output is a prioritized roadmap, not a wish list. Then I train the people who'll use it, so the rollout sticks.
What gets built
- AI readiness assessment of your current tools, workflows, and team
- Prioritized roadmap with 90-day quick wins and a 12-month vision
- Tool-stack recommendations matched to your team's actual skill level
- ROI projections for each proposed automation, with budget context
- Prompt engineering and SOP training for the people doing the work
- Optional monthly strategy sessions for ongoing guidance
Tools in the stack
Claude · ChatGPT · Custom audit frameworks
What changes
You know exactly where AI fits in your business, in what order, and what each step is expected to cost versus return.
02
Workflow & Operations Automation
An audit of where time and money leak out of your operations, followed by end-to-end automations that connect your existing tools and run the work between them. No platform swap required — I work with the stack you already pay for.
What gets built
- Automation opportunity audit with a prioritized rollout plan
- Cross-tool workflow builds across CRM, email, docs, calendars, project tools
- Lead-intake, follow-up, and internal handoff automations
- Real-time business dashboards with live KPIs
- LLM-powered alerts and weekly executive reporting
- Error handling and human-in-the-loop escalation logic
Tools in the stack
Zapier · Make · n8n · Gumloop · Relevance AI · Supabase
What changes
Hours per week your team used to spend copying things between systems — gone. Handoffs that used to fall through cracks — caught.
03
AI Voice Agents
Voice-driven AI that picks up the phone 24/7. It takes calls, qualifies leads, schedules appointments, runs outbound sequences, and logs everything to your CRM. Sounds natural, handles objections, escalates when it should.
What gets built
- 24/7 AI receptionists for inbound calls and appointment scheduling
- Outbound sales / SDR voice agents with objection handling and live transfer to closers
- Voice-driven customer surveys with sentiment analysis
- Full call logging with CRM and calendar integration
- Bilingual support where the market requires it
- Transparent disclosure to the caller that the agent is AI
Tools in the stack
Vapi · Bland · ElevenLabs · Cartesia · HubSpot · Make
What changes
You stop losing leads to missed calls and after-hours queries. Your team focuses on closing instead of triaging the inbound.
04
Sales & Lead-Generation Automation
Pipelines that find, enrich, score, and reach out to qualified leads at volume across email, LinkedIn, and SMS. Reply detection, A/B testing, and a dashboard that tells you what's actually converting all come built in.
What gets built
- Automated lead sourcing and enrichment — company size, tech stack, intent signals
- AI lead scoring tied to your ideal customer profile
- Multi-channel outreach with personalization and reply detection
- Auto-enriching CRM with embedded next-action recommendations
- Pipeline-health dashboard with deal-risk alerts
- A/B testing on subject lines, openers, and CTAs
Tools in the stack
Clay · Bardeen · Apollo · HubSpot · Attio · Make · Claude
What changes
Your sales team spends its time on real conversations, not list-building or copy-pasting between tools.
05
Customer Support Automation
AI support agents that handle the everyday questions across chat, email, and SMS. They pull answers from your existing documentation, escalate the hard cases to humans, and get better at routing as they go.
What gets built
- Branded multi-channel chatbots — website, WhatsApp, email, social
- Sentiment detection and intent-based routing
- Smart escalation: AI handles tier 1, humans handle tier 2+
- AI-powered self-service knowledge bases auto-populated from your existing docs
- Documentation auto-generated from past support tickets
- Privacy and disclosure language that meets regulatory expectations
Tools in the stack
Smyth OS · CrewAI · Flowise · Langflow · Pinecone · Supabase
What changes
Tier-1 question volume typically drops 60–70%. Your support team focuses on the cases that actually need a human in the loop.
06
Content & Marketing AI
Content production that doesn't break under scale — written, designed, and scheduled across the channels you care about. The human editor stays in the loop on every published piece. AI drafts; you (or I) review.
What gets built
- Monthly content engines — written, visual, and scheduled in batches
- AI-drafted content with a human editor on every published piece
- Short-form video repurposing across formats and platforms
- AI ad-creative variants with performance tracking and rotation
- Keyword clustering and SEO content intelligence
- Competitor content gap analysis fed back into the editorial plan
Tools in the stack
Claude · ChatGPT · Jasper · Midjourney · Opus Clip · InVideo
What changes
You ship content consistently, with your team reviewing instead of starting from a blank page every week.
07
CRM & Data Intelligence
Most CRMs slowly rot — manual updates skipped, contacts go stale, deal fields stay empty. The fix is automation that maintains the data and AI that recommends what to do with it. Works with whatever CRM you're already on.
What gets built
- CRM setup or migration with auto-enrichment pipelines built in
- Unified customer profiles across siloed tools
- AI next-action recommendations embedded in the contact view
- Real-time triggers based on customer behavior across your stack
- Deduplication, data hygiene, and embedded lead scoring
- Account-based intelligence for B2B sales teams
Tools in the stack
HubSpot · Attio · Folk · Clay · Bardeen · Make
What changes
Your CRM stays current without anyone manually keeping it that way. Reps trust the data again.
08
Predictive Analytics & Custom AI Tools
Models tuned to your data: churn risk, demand forecasts, revenue projections, competitor and market signal monitoring. Plus custom internal tools and lightweight products built when off-the-shelf software doesn't fit the workflow.
What gets built
- Churn prediction with automated retention-campaign triggers
- Demand forecasting and inventory optimization for product businesses
- Revenue and cash-flow forecasting models
- Real-time competitor monitoring (pricing, product launches, content)
- Custom internal tools, MVPs, and lightweight SaaS builds when needed
- Bias and accuracy reviews before any model goes into production
Tools in the stack
Mixpanel · PostHog · Metabase · Kleene.ai · Lovable · Supabase · Vercel
What changes
You see what's coming three months out instead of reacting to last month's report. The hard calls get made with data behind them.
Engagements range from a $1–3K AI audit to multi-month builds for full operational transformations. Most clients start with an audit, then take one category at a time so the ROI of each phase is provable before the next phase begins. No retainer required to start a conversation.
Ready to put AI to work — the right way?
Whether you want one AI agent or a connected stack of automations, the engagement starts with a conversation about what you're actually trying to fix. I'll be honest about where AI fits, where it doesn't, and what the real ROI looks like before any work begins. Get in touch and let's map it out.
Google Partner