Part of Phase 2 — what we build on the brand foundation

The parts of your business that should run without you

Custom AI agents wired into your actual workflows. Not chatbots bolted onto your website. Real automation that handles tasks, answers questions, and moves work forward — even when you're asleep.

Where this sits

This is part of Phase 2 — what we build on your brand foundation.

Every engagement starts with Discovery — a brand audit and an ops audit, included, no charge. If your brand is solid, Phase 1 runs in Capture mode (lighter, faster, cheaper). If there are gaps, Phase 1 runs in Rebrand mode. Either way, the design system is in place before any build work begins. We don't ship code against a brand we haven't audited.

Discovery

A 30-min call to map fit and scope.

Free
1
Phase 1 BrandFuse ~1 week

Brand foundation, voice, visual system.

2
Phase 2 Build Scope-based

Websites, platforms, AI integrations.

3
Phase 3 Run Ongoing

Retainer support and iteration.

The chaos state

AI is everywhere except where you actually need it

A thousand chatbot widgets and zero useful automation. Here's what's actually broken.

Generic chatbots

"Hi, how can I help you today?" — and then nothing

Off-the-shelf chatbots that can't access your data, don't know your services, and route every real question to a human anyway. They make your business look cheaper, not smarter.

Manual repetition

You're still doing the same task 50 times a week

Sorting inbound leads, summarizing meetings, drafting follow-ups, copying data between tools, answering the same questions every Monday. Tasks that LLMs solved years ago — but nobody connected them to your actual systems.

  • Inbox triage that runs every morning at 7am
  • Meeting summaries that auto-create tasks in your project tool
  • Lead qualification that knows your actual qualifying questions

Process

From “what’s repetitive?” to “it just runs.”

Five steps. Tight feedback loop. You start seeing automation in week one.

5 steps ~5 weeks Weekly demos
  1. 1

    Week 1

    Audit

    I shadow how you work, find the high-frequency repetitive tasks, and flag the ones AI can actually handle today.

  2. 2

    Week 1-2

    Design

    I map the agent flows — what triggers them, what data they need, what they’re allowed to do, what humans approve.

  3. 3

    Weeks 2-4

    Build

    I wire the agents into your tools, prompt-engineer them against your real data, and test with you in the loop.

  4. 4

    Week 4-5

    Deploy

    Agents go live with monitoring and audit logs. You see exactly what they’re doing and can pause anything that misbehaves.

  5. 5

    Ongoing

    Tune

    Agents improve as we learn what works. New use cases get added. Old prompts get sharper. The system gets smarter.

What you get

Agents that know your business.

Not generic AI bolted onto your site. Custom agents wired into your real workflows, with access to your real data — ten deliverables, fixed scope, one fixed quote. Every item is on the table from day one so there are no surprises at launch.

10 deliverables Fixed scope 30-day support
  • Workflow audit and opportunity map

    We walk through your operations, find the repetitive work, and rank it by time saved.

  • Custom agent design and architecture

    What the agent does, what it does not, and how it sounds. Approved before we build.

  • Prompt engineering on your real data

    Iterated against real examples from your business, not generic AI demo prompts.

  • Safety guardrails and rate limits

    Refusal cases, escalation paths, and human-in-the-loop checkpoints so nothing goes off the rails.

  • Audit logs and monitoring dashboard

    Every agent action logged. You can see exactly what ran, when, and why.

  • Tool and API integrations

    Slack, email, CRM, database, spreadsheets — wherever the agent needs to reach.

  • Human-in-the-loop approval flows

    Before we ship, we run the agent against real scenarios and measure where it fails.

  • Team training and runbooks

    Written docs, video walkthroughs, and a training session. Your team knows how to use it by launch.

  • Cost monitoring and optimization

    Hosted on your infrastructure or ours. Your call. Either way it runs without you babysitting it.

  • 30 days of post-launch tuning

    We watch the first 30 days of production, fix edge cases, and tune the agent’s voice to match.

Brand-tech integration

Built on your brand foundation

Your agents sound like your brand, not like a generic chatbot. They use your voice rules from Phase 1. They use your tone framework across all four dimensions. When a customer talks to one of your agents, it feels like talking to someone who actually works at your company.

See where this sits in the system →

Investment

Custom-scoped, transparent

AI projects vary widely in scope. Here's the typical engagement structure.

Custom scoped

AI agent integration

Custom AI agents

From single-task automations to multi-agent systems wired into your full operation.

$10K - $40K

Scope-dependent, fixed quote

  • Workflow audit and opportunity mapping
  • Custom agent design, build, and deployment
  • 4-6 week delivery timeline
  • Audit logs, monitoring, and safety guardrails
  • Team training and documentation
  • Monthly retainer for ongoing tuning
Let's chat

Most engagements start with a $5K audit phase to scope the right agents before committing to a full build.

Use cases

What we typically build

Real automation patterns, not "AI-powered" marketing copy.

Inbox triage and response drafting

Agent reads your inbox, categorizes messages, drafts responses for the routine ones, and surfaces the ones that need your attention.

→ ~10 hrs/week saved

Lead qualification and routing

Agent asks your real qualifying questions, scores the lead, routes hot ones to your calendar, and politely declines fits that aren't.

→ ~5x more qualified leads

Proposal and quote generation

Agent reads the discovery call transcript, pulls relevant case studies and pricing, and drafts a custom proposal in your voice.

→ ~2 hrs → 10 min

Meeting summaries and action items

Agent listens to your calls, summarizes the key points, extracts action items, and creates tasks in your project tool.

→ Zero post-meeting writeup

Customer support agent

Agent that knows your services, pricing, and policies. Answers real questions, books calls, and only escalates the genuinely complex ones.

→ ~70% deflection rate

Internal knowledge agent

Your team asks questions in plain English and gets answers pulled from your real documents, contracts, and policies. No more "where's that file?"

→ Instant answers, on demand

FAQs

Questions about AI integration

The questions that come up most often on discovery calls. If yours isn’t here, ask it on the call — the answer is usually “yes, and here’s how.”

Book a discovery call →
You will. Phase 1 is part of every build engagement — it’s how we make sure the technology we build matches the brand it’s serving. The form depends on what Discovery finds. If your existing brand is solid, Phase 1 runs in Capture mode (lighter, faster, cheaper). If there are gaps, it runs in Rebrand mode. Either way, you’ll know the scope and price before any chargeable work begins.
Whatever fits the task. Claude (Anthropic) for most reasoning and writing, GPT for some specific use cases, open-source models when data residency matters. The choice is driven by quality and cost, not vendor loyalty.
Yes. We use API providers with no training on your data, encrypt sensitive fields, and can deploy fully on infrastructure you control if compliance requires it. You’ll know exactly what data goes where.
Every agent gets safety guardrails — what it can and can’t do, what requires human approval, and what triggers escalation. Mistakes get caught before they reach customers. And every action is logged so you can audit what happened.
Yes — through prompt refinement, example libraries, and (where it makes sense) fine-tuning. The system gets sharper as it sees more of your real work.
API costs vary by usage. Most engagements run $50–$500/month in API costs after launch. We optimize for cost from day one — using smaller models where they’re enough and bigger ones only where they’re needed.
No. Agents handle the repetitive parts so your team can focus on the work that actually needs human judgment. People plus agents always beat people without them — and agents without people make expensive mistakes.
If it has an API, yes. Slack, Notion, Salesforce, HubSpot, Gmail, Calendar, QuickBooks, Stripe, Airtable, custom databases — the list is long. If you have a tool we haven’t seen before, I’ll figure it out.
It will. That’s why we build agents as modular systems that can swap models, update prompts, and add new capabilities without rewriting everything. The architecture stays stable even when the underlying models don’t.

Where we start

Start with Discovery — included with every engagement.

30 minutes. No pitch. Brand audit + ops audit. We'll tell you which phase to start with.

No pitch, no commitment. Just a real conversation.