27 AI Advisors
AI Consulting — Built for the Modern EnterpriseLive

AI Strategy

Results That Scale.

27 AI Advisors helps forward-thinking organizations harness artificial intelligence — from strategy and readiness to implementation and scaled adoption — with clarity, rigor, and measurable impact.

AI StrategyLLM ImplementationData-Driven DecisionsIntelligent AutomationAI Readiness AssessmentResponsible AIScalable SolutionsEnterprise TransformationAI StrategyLLM ImplementationData-Driven DecisionsIntelligent AutomationAI Readiness AssessmentResponsible AIScalable SolutionsEnterprise Transformation
01 — The Problem

Most Organizations Are Falling Behind on AI

The gap between AI-leading and AI-lagging companies is widening every quarter. The challenge isn't access to AI tools — it's knowing which ones matter, how to deploy them safely, and how to scale what works.

Stuck in Pilot Purgatory

82% of enterprise AI pilots never reach production. Teams invest months, miss deadlines, and declare victory on demos — while competitors ship.

No Clear AI Roadmap

Leadership wants AI now. Engineering wants to do it right. Neither team has a shared language, prioritized use cases, or a realistic path forward.

Talent Gap is Real

Hiring ML engineers takes 6+ months. Building internal capability from scratch is slow, expensive, and often misaligned with actual business needs.

Risk Exposure Growing

Shadow AI is already inside your org. Ungoverned LLM use creates compliance liability, data leakage risk, and reputational exposure at scale.

02 — The Cost of Staying the Same

Every Quarter You Wait Has a Price

$4.7M

Average annual cost of delayed AI adoption per mid-market firm

McKinsey, 2025
2.3×

Revenue advantage held by AI-first companies over laggards in their sector

Accenture, 2025
67%

Of executives say their AI programs lack the governance to scale safely

Gartner, 2025
18mo

Average time lost to failed in-house AI builds before seeking expert guidance

Forrester, 2024

Without a clear AI strategy — here's what happens

1
Now

No strategy. Fragmented AI experiments. No clear owner.

2
+3mo

Competitors ship first AI-powered products. Customer expectations shift.

3
+9mo

Talent attrition accelerates. Engineers leave for AI-native companies.

4
+18mo

Board demands AI results. Internal credibility gap becomes critical.

03 — The Solution

27 AI Advisors: Expert Partners, Not Vendors

We are a boutique team of 27 AI specialists who embed with your organization to deliver strategy, build production systems, and leave you with the capability to operate independently.

Why 27 AI Advisors

Embedded advisors — not slide-deck consultants
Strategy AND hands-on implementation
Vendor-agnostic: we recommend what fits, not what we sell
27 specialists across every AI discipline
Responsible AI governance built into every engagement
Proven across regulated industries and high-growth startups

No AI theater. Just results.

We start with your business goals, not a list of AI tools. Our diagnostic maps where AI creates real leverage — and where it doesn't belong yet. You get a prioritized roadmap with measurable outcomes before a single line of code is written.

  • AI opportunity audit
  • Use-case prioritization by ROI
  • Build vs. buy analysis
  • Board-ready AI roadmap
04 — How the System Works

From Zero to AI in Production

A proven five-phase engagement model — built for speed, built for scale.

Phase 01

AI Diagnostic

Week 1–2

We audit your current data infrastructure, workflows, vendor stack, and team capability. We map where AI creates leverage — and where it creates risk.

Key DeliverableAI Readiness Report
How It Works

A System Built for Predictable Pipeline

Six integrated stages that take you from cold data to confirmed meetings — automatically, repeatably, at scale.

01

Identify Prospects

AI scans your ICP parameters — industry, size, signals — to surface high-fit accounts ready to engage.

Verified Prospect List
02

Launch Campaigns

Personalised multi-channel outreach is deployed across email, LinkedIn, and paid channels simultaneously.

Active Campaign Set
03

Capture Responses

Every reply, click, and signal is routed into a unified inbox — scored in real time by AI priority models.

Scored Inbox Feed
04

Qualify Opportunities

AI cross-references intent data, engagement depth, and firmographics to separate hot leads from noise.

Qualified Pipeline
05

Book Appointments

Qualified leads are handed off to automated booking flows — calendar links, reminders, and confirmations handled end-to-end.

Confirmed Meetings
06

Track & Optimise

Live dashboards report on pipeline velocity, conversion rates, and cost-per-meeting — enabling continuous tuning.

Performance Dashboard
Start the SystemFully automated — live in 30 days
05 — What's Included

Choose Your Engagement Model

Every engagement is scoped to your specific needs. These are indicative starting points — all pricing is customized after the diagnostic.

AI Diagnostic

Starting at $12K

Perfect for organizations that need clarity before committing to a full engagement.

AI Readiness Assessment
Use-Case Prioritization Workshop
Competitive AI Benchmarking
Executive Roadmap Presentation
Implementation Support
Production Build
Ongoing Advisory Retainer
Most Popular

Full Engagement

Starting at $75K

End-to-end AI strategy, pilot build, and scale support for organizations ready to move.

AI Readiness Assessment
Use-Case Prioritization Workshop
Competitive AI Benchmarking
Executive Roadmap Presentation
Implementation Support
Production Build
Ongoing Advisory Retainer

Advisory Retainer

Starting at $8K/mo

Ongoing strategic and technical AI guidance for organizations with an internal team.

AI Readiness Assessment
Use-Case Prioritization Workshop
Competitive AI Benchmarking
Executive Roadmap Presentation
Implementation Support
Production Build
Ongoing Advisory Retainer
06 — Expected Outcomes

Measurable Impact, Not Just Potential

3–6×

ROI on AI initiatives within 12 months of deployment

60%

Reduction in time spent on repetitive knowledge work

40%

Faster product iteration cycles with AI-assisted development

<90

Days from kickoff to first AI system in production

AI Performance Dashboard

AI Projects Live

12
+4 this quarter

Avg. Time to Deploy

67d
-23 days vs target

Cost Savings YTD

$2.4M
+18% vs forecast

Model Accuracy

94.2%
+1.8% since last review
Performance Trajectory

Before vs. After

Process Automation
+56%
Decision Latency
+-34%
Data Utilization
+58%
Team Productivity
+63%
07 — Proof

Real Work. Real Results.

Three representative engagements across industries — each with a clear problem, a precise solution, and measurable outcomes.

Financial Services

Meridian Financial Group

LLM + Automation

The Challenge

Manual underwriting process taking 14 days per application, creating competitive disadvantage against fintech challengers.

The Solution

Built an LLM-powered document analysis pipeline that extracts, classifies, and scores risk factors from unstructured financial documents.

Results

1

Underwriting time reduced from 14 days to 18 hours

2

72% reduction in manual review cost per application

3

SOC 2 Type II compliant from launch

Start your engagement
08 — FAQ

Questions We Hear Every Time

We complement your existing team rather than replace them. Our role is to accelerate them — bringing specialized AI expertise, proven patterns, and external perspective while your internal team owns the long-term. We document everything for seamless handoff.

Our AI Diagnostic takes 2–4 weeks. A full strategy-through-pilot engagement typically runs 12–16 weeks to first production deployment. Complex multi-system builds run 6–12 months. Every timeline is scoped during the discovery call.

Completely vendor-neutral. We have no commercial relationship with any AI vendor, cloud provider, or tooling company. Our recommendations are based solely on what creates the best outcome for your specific context — technically, commercially, and operationally.

We work across financial services, healthcare, logistics, professional services, SaaS, media, and manufacturing. Our team includes domain specialists for regulated industries who understand compliance requirements (HIPAA, GDPR, SOC 2, FCA) as well as the technical landscape.

You retain 100% ownership of all code, models, data, and deliverables. All work is done under a signed engagement agreement that includes strong IP assignment, data handling provisions, and NDA protections. We never use client data to train shared models.

That's exactly what the AI Diagnostic is for. Most of our best engagements start with 'we know we need AI, but we don't know what or how.' The diagnostic gives leadership a clear picture and a prioritized path forward — without any commitment beyond that initial engagement.

Yes. Our Advisory Retainer provides ongoing strategic and technical guidance — model monitoring, new use-case evaluation, team enablement, and quarterly roadmap reviews. Many clients transition from project to retainer once their first system is in production.

09 — Let's Talk

Ready to Transform Your AI Journey?

Book a discovery call or send us a message. We'll get back to you within 24 hours.

We'll use your email only to respond to your inquiry.