/ AI SOLUTIONS ·Part of the Web Engine

Implementation,
not consulting.

Most “AI services” are consulting wrapped in PowerPoint. Six months of strategy decks. No code shipped. We do the opposite: implementation, not deliberation. A $3K/month flat fee, unlimited features, weekly ships into your production stack. Customer-facing AI, internal tools, workflow automation, data intelligence — built and deployed, not theorized.

Customer-facing AI (smart product search, AI chatbots, personalized recommendations). Internal tools (team knowledge bases, AI-augmented dashboards, content generation). Workflow automation (MCP integrations with Claude/GPT, process automation across your tools). Data intelligence (forecasting, segmentation, insights). Whatever moves the business — built into your stack at our standard cadence.

Get an AI Readiness AuditFree 30-Min Assessment
/ AI IMPLEMENTATION CONSOLE · LIVE · WK 47 · 2026
8 ACTIVE FEATURES23 SHIPPED (YTD)4 IN BUILD
CUSTOMER-FACING●DEPLOYED

Smart Product Search

AI-powered search with semantic understanding of product attributes, replacing the default Shopify search.

Shipped · WK 45 · Live in production
CUSTOMER-FACING●DEPLOYED

Customer Service Bot

Claude-powered chat handling tier-1 customer queries; escalates complex issues to human agents.

Shipped · WK 43 · 2,400 conversations / week
DATA INTELLIGENCEIN BUILD

Inventory Forecaster

ML model predicting SKU-level demand 4–12 weeks out using sales, seasonality, and trend data.

Last activity · WK 47 · Beta testing
INTERNAL TOOLS●DEPLOYED

Internal Knowledge Base

MCP-connected Claude integration with internal documentation, policies, customer history.

Shipped · WK 41 · 18 team members onboarded
WORKFLOW AUTOMATIONIN BUILD

Email Personalization Engine

Klaviyo + Claude integration generating per-segment email content from product + behavior data.

Last activity · WK 47 · QA in progress
WORKFLOW AUTOMATION○IN QUEUE

Sales Lead Qualifier

Claude-powered lead scoring + qualification triage routing leads to the right account exec.

Queued · ETA WK 50
/ RECENT SHIPS · LAST 4 WEEKS
WK 47Shipped smart-product-search v2 · improved semantic ranking
WK 46Deployed customer-service-bot · live in production for 2,400 weekly chats
WK 46Integrated MCP-claude-internal · 18 team members onboarded to internal knowledge base
WK 45Built inventory-forecaster v1 · beta testing with operations team
CAPABILITY CATEGORIES · 4 ACTIVE · 12 IN ROADMAPAB-AI · 111
~$3K / moFlat Pricing · Unlimited Features · No Project-Based Surprises
~1 / weekAvg Net-New Features Shipped Per Active Engagement
~6 weeksAvg Time From “We Should Try AI” to First Deployed Feature
/ The AI Reality

Six months of slides.
Zero lines of code shipped.

The AI services landscape divides into two camps. Consulting firms produce strategy decks: 60-page PowerPoints, AI maturity assessments, “transformation roadmaps” — and no shipped code. Implementation shops produce production deployments: features in your live stack, real users interacting with real AI, measurable business outcomes. We’re firmly in the second camp — and we charge a flat fee that makes consulting economics impossible.

/ Consulting-as-AI · Most AgenciesNo Code Shipped
  • AI maturity assessment40-page deck
  • AI strategy roadmap12-month theoretical timeline
  • Vendor selection matrixcomparison of 8 platforms
  • Change management planworkshops, training decks
  • Pilot recommendations"what to test first"

Six months. $80K-200K. Zero lines of code in production.

/ Implementation-as-AI · Act BoldCode in Production
  • Week 1–2Discovery + readiness audit + first-feature scope
  • Week 3–4First feature deployed to staging
  • Week 4–6First feature in production
  • Week 7+Continuous shipping — new feature every 1–2 weeks

Six weeks. $18K total invested. First feature live and earning its keep.

The Difference: Consulting Produces Decks. Implementation Produces Revenue.
$110K
average price of a "Big 4" AI strategy engagement.
Gartner AI Services Pricing Benchmark · 2024
9 months
typical timeline from engagement start to first AI feature deployment in consulting-led engagements.
McKinsey AI Implementation Survey · 2024
73%
of enterprise AI consulting engagements never deploy production features.
MIT Sloan Management AI Failure Study · 2024
~6 weeks
Act Bold's median time-to-first-production-feature across active engagements.
Act Bold AI Solutions Cohort · 2025
/ The AI Solutions Stack

Four capability areas.
One implementation team.

AI Solutions implementation at Act Bold runs across four capability areas — together they cover the surface where most $2M–$20M brands actually deploy AI. Each area has its own implementation patterns, technical stack, and measurement framework — but they all run through one integrated team on a single weekly cadence.

01

Customer-Facing AI

The AI features your buyers actually interact with. Smart product search that understands “comfortable couch for small apartment” not just keyword matches. Customer service chat that handles tier-1 queries without sounding like a 2018 chatbot. Personalized product recommendations that go beyond “people also bought.” Built into your existing storefront, not bolted on as a third-party widget.

  • Smart product search (semantic + natural language)
  • Customer service AI (Claude-powered chat with brand voice)
  • Personalized recommendations (beyond collaborative filtering)
  • AI-generated product copy + descriptions
Conversation Interface
02

Internal Tools AI

The AI features your team uses internally — typically the highest-ROI category because it directly compounds team productivity. AI-augmented internal knowledge bases (your docs + customer history + policies, queryable in plain language). AI-assisted reporting dashboards. AI-powered content generation tools. Built on Claude/GPT via MCP integration with your actual systems.

  • MCP-connected internal knowledge base (Claude + your docs/data)
  • AI-augmented reporting + analytics dashboards
  • Content generation tools (briefs, scripts, social copy)
  • Custom GPTs / Claude Projects for specific team workflows
Internal Knowledge Base
03

Workflow Automation

AI-driven process automation across your existing tools. MCP integrations connecting Claude to your CRM, helpdesk, CMS, project management, and other operational systems. Multi-step automations triggered by business events. Lead routing, ticket triage, content workflows — automated with AI making the judgment calls humans previously had to make.

  • MCP server setup (Claude ↔ your tools)
  • Multi-tool workflow automation (Zapier-class but smarter)
  • Lead qualification + routing automation
  • Helpdesk + ticket triage automation
Workflow Diagram
04

Data Intelligence

AI applied to your operational data. Demand forecasting models for SKU-level inventory planning. Customer segmentation using behavioral + purchase data. Anomaly detection on operational metrics. AI-summarized monthly business reviews. Not BI dashboards — actual ML and AI models trained on your data, producing insights and predictions your existing BI tools can't.

  • Demand forecasting (SKU-level, 4–12 week horizon)
  • Customer segmentation (behavioral + value-based)
  • Anomaly detection (operations + revenue)
  • AI-summarized executive reports
Data Intelligence
/ The AI Capability Library

What “unlimited features” actually means.

“Unlimited features” sounds like marketing copy until you see what’s actually been shipped. Here’s the capability library across active engagements — categorized, status-tagged, and continuously expanding. Pricing is flat. New capabilities are absorbed into the $3K/month engagement.

/ Capability Library · Currently 47 Deployable · Continuously Expanding16 SHOWN · 31 MORE ON REQUEST
Customer-Facing

Smart Product Search

Semantic search with natural-language understanding

~3 weeks

AI Customer Service Chat

Brand-voiced Claude/GPT chat handling tier-1 queries

~4 weeks

Personalized Recommendations

Behavioral + content-based rec engine

~3–5 weeks

AI Product Copy Generation

Bulk product description generation matching brand voice

~2 weeks
Internal Tools

Internal Knowledge Base (MCP)

Claude connected to your internal docs/data

~3–4 weeks

AI Reporting Assistant

Natural-language queries against business data

~3 weeks

Content Generation Tools

Custom GPTs for marketing/ops team workflows

~2 weeks

Internal AI Onboarding

Team training + custom prompts for AI tools

~1–2 weeks
Workflow Automation

MCP Server Configuration

Claude ↔ your business tools integration

~2–3 weeks

Multi-Tool Workflow Automation

Cross-tool process automation with AI logic

~3–4 weeks

Lead Qualification + Routing

AI-scored lead triage to the right rep

~3 weeks

Helpdesk Ticket Triage

AI categorization + priority + routing of inbound

~3 weeks
Data Intelligence

Demand Forecasting (SKU-level)

ML model predicting SKU demand 4–12 weeks out

~4–6 weeks

Customer Segmentation (AI)

Behavioral + value-based dynamic segments

~3–4 weeks

Anomaly Detection

Real-time alerts on operational + revenue anomalies

~3 weeks

AI Executive Summary

Auto-generated monthly business review

~2–3 weeks

One library. 16 capabilities currently. Adding new ones continuously. All absorbed into the same $3K/month engagement.

~47
Total deployable capabilities across the library (continuously expanding)
~3 weeks
Avg implementation time per capability
Unlimited
Capabilities included in the flat $3K/month engagement
0
Project-based change orders or scope surprises
/ AI Solutions Case Studies

Three brands.
Three different stacks.

From DTC commerce to industrial B2B — three brands that turned “we should try AI” into shipped features earning measurable business outcomes.

CUSTOMER-FACING + INTERNAL TOOLS · DTC ECOMMERCE

Available on Request

/ Customer-Facing AI + Internal Tools Engagement
~42%
Tier-1 Customer Service Deflection Rate
+27%
Search → PDP Conversion From Semantic Search
~12 hrs / wk
Internal Team Time Reclaimed Via Knowledge Base

“We had been told for two years that we needed an AI strategy. Act Bold skipped the strategy and shipped four features in eight weeks. The strategy emerged from what worked.”

See Case Study →
WORKFLOW AUTOMATION + DATA INTELLIGENCE · INDUSTRIAL

Available on Request

/ Workflow Automation + Data Intelligence Engagement
~68%
Quote Turnaround Time Reduction (8hr → 2.5hr Avg)
~91%
Lead Qualification Accuracy vs Prior Manual Process
±8%
SKU-Level Forecast Accuracy (Within 8% of Actuals)

“B2B isn't supposed to be the AI early adopter category. But the operational ROI on automating quote generation and lead qualification has been the biggest gain we've had on the platform side this year.”

See Case Study →
FULL STACK · 4 CATEGORIES · HYBRID B2B/DTC

Available on Request

/ Full Four-Category AI Implementation
23
Features Shipped Across The Four Categories (12 Months)
~$3K / mo
Total Investment Across The Entire Engagement
Weekly
Sustained Ship Cadence Across 12+ Months

“The flat-fee model only makes sense if the agency can actually maintain the cadence. They can. New feature roughly every week, for over a year now, no scope-creep emails, no project change orders.”

See Case Study →
/ Investment

One price. Unlimited features.

AI Solutions · Flat Monthly
$3,000
/ Month · Flat

Unlimited features. Weekly ships. No project-based surprises.

UNLIMITED FEATURES

All 4 capability categories. All 47 deployable capabilities. New capabilities added to the library as they're developed. No upgrade tiers. No “premium features.”

WEEKLY SHIPS

Net-new feature shipped to production roughly every week. Some weeks more, some less. Roadmap reviewed monthly. Cadence isn't theoretical — it's how we work.

NO PROJECT SURPRISES

No change orders. No scope creep. No “that's outside the SOW” emails. The flat fee absorbs everything in the capability library. Custom capabilities outside the library scoped separately with full transparency.

Compare to traditional AI engagements: $80K–$200K for 6-month strategy decks. Or $25–$50K per implementation project with months between shipments. Our model only works because we ship continuously.

Month-to-Month · 30-Day Cancel · No Setup Fee · No Minimum Term · Tool Fees Passed Through at Cost
/ AI Solutions Questions

Five questions worth a real answer.

How “unlimited” pricing actually works, which AI platforms we build on, time-to-first-feature, stack integration, and ongoing maintenance.

The flat $3,000/month fee covers any capability from the library (currently 47 deployable, continuously expanding). New capabilities get added as we develop them — and once they're in the library, they're available to every engagement without changing the fee. The model only works because (1) we've built reusable implementation patterns for the common capability categories, (2) we work at weekly velocity rather than 6-month timelines, and (3) we pre-scope discovery + readiness rather than treating every engagement as bespoke. If you need a capability genuinely outside the library — something we haven't built before, requiring research-level work — we'll scope that separately with full transparency. The library covers what 95% of brands actually need.

Primarily Claude (Anthropic) and GPT (OpenAI), with Gemini and Llama in specific use cases. We use Claude Projects + custom GPTs for end-user features, and direct API integration via the Claude / OpenAI APIs for backend automations. MCP (Model Context Protocol) is our primary integration layer for connecting AI to your existing tools — CRM, helpdesk, analytics, etc. We're model-agnostic in practice — we pick the right model for each capability rather than locking everything into one provider.

Roughly 6 weeks from engagement start to first feature in production. Weeks 1-2 are discovery (AI readiness audit, capability prioritization, first-feature scope). Weeks 3-4 are build + staging. Weeks 5-6 are QA, deployment, and monitoring. After the first feature, the cadence increases — typically 1 new feature per week thereafter, with some weeks shipping multiple smaller capabilities and some weeks focused on a larger implementation.

Most AI capabilities deploy alongside your existing stack rather than replacing it. Customer-facing AI integrates with your storefront (Shopify, custom, etc.). Internal tools sit on top of your existing CRM/helpdesk via MCP. Workflow automations connect your existing tools. Data intelligence reads from your existing data warehouse or DB. We don’t replatform your stack — we add AI layers to it. For platform builds and migrations, see Web Development. If you have specific integration concerns (security, data residency, etc.), we cover those in the AI readiness audit during the first 2 weeks.

Yes. The $3K/month engagement is ongoing — it covers continuous capability development AND maintenance of already-deployed features. Monitoring, model updates, prompt iteration, edge-case handling, and refinement based on real usage all happen as part of the standard engagement. AI features aren't "ship and forget" — they need continuous tuning as user behavior reveals edge cases and as the underlying models update. The flat fee covers this maintenance work alongside new capability development.

/ Let's Talk · AI Solutions

Ready to start shipping?

Tell Act Bold about your current operations, where you suspect AI could move the business, and what’s blocked you from implementing so far. We’ll send back a no-fluff AI readiness audit — top-priority capability candidates, expected implementation timelines, and a 90-day roadmap — within 48 hours.

Book a Call30-Min AI Discovery
Get a Capability RoadmapFree · 48HR Turnaround
info@actbold.comactbold.com30-Day Cancel · Month-to-Month