Workflow 1
Pursuit Engine
Go/no-go scoring on fit, win odds and delivery capacity, plus first-draft proposals built from your past projects, resumes and boilerplate.
Fewer, better proposals. BD hours back.
AI Implementation for AEC Firms
AI that pays for itself,
for AEC firms.
70%* of architecture and engineering firms now use AI. Only 38%* can prove it pays. In 90 days, we put two AI workflows into production and measure the hours and margin they return.
Led by the former Director of Strategy & Development at Shikun & Binui USA, who drove a $500M increase in annual bookings.
The Problem
Busy isn't the same as profitable.
Firms are submitting more proposals, winning a smaller share, and losing billable time to coordination. AI pilots haven't changed those numbers.
~60%*
utilization
32%*
more proposals, lower win rates
40%*
of projects behind schedule
62%*
don't know where to apply AI
Implementation Has No Owner
Principals approve AI, then it sits with an overloaded BIM or IT lead. Nobody senior is accountable for driving it through.
Vendors Sell Software, Not Outcomes
ERP add-ons and AI tools ship features. Nobody owns adoption or ROI.
Pilots Never Reach Production
39%*of firms say it's too early to see benefits or they're still piloting.
The 38%* Program
The 38%* Program: two workflows, live in 90 days.
One owner from strategy through rollout. Built on data your firm already has: ERP, timesheets, past proposals and email.
Workflow 2
Project Pulse
A weekly AI summary per project, drawn from your ERP (Deltek Vantagepoint/Ajera, BQE Core, Unanet or similar) and timesheets. It flags budget burn, schedule slip, unbilled work and scope creep before invoice time.
Fewer write-downs. PM admin hours back.
Foundation
Foundation
An AI use policy, data-security guardrails, team training, and a baseline-and-results scorecard your partners can audit.
Results your partners can verify.
See it in action
What this looks like inside your firm
Two everyday processes, step by step. Blue steps are the ones AI takes off your team's plate.
Pursuit Engine: from RFP to go/no-go
- 1
RFP or RFQ lands in your inbox
- 2AI does this
Reads it and scores fit, win odds and whether you have the people to deliver
- 3
Principal makes the go/no-go call in 10 minutes, not a 1-hour meeting
- 4AI does this
Drafts the proposal from your past projects, resumes and boilerplate
- 5
Your BD lead edits and submits
Fewer, better proposals. Your senior people spend their time on the pursuits you can win.
Project Pulse: from timesheets to early warning
- 1
Your team logs time as usual in your ERP
- 2AI does this
Every Monday, reads the ERP, timesheets and project emails
- 3AI does this
Writes a one-page summary per project and flags budget burn, schedule slip, unbilled work and scope creep
- 4
PM reviews the flags and acts this week, not at month-end close
Problems surface before invoice time, while they're still fixable.
A project manager's week, before and after
Before
- Friday afternoon spent building status reports by hand
- Overruns found at month-end close
- Unbilled work chased after the fact
- Scope creep noticed when the client disputes it
After
- Monday: a 15-minute review of flagged projects
- Budget burn and schedule slip flagged early
- Unbilled work surfaced before invoicing
- Scope changes documented as they happen
Want to see this mapped to your firm?
Book a Diagnostic CallCase Studies
Results, not slides
Selected results from operating roles and advisory work. Today, fourfront.ai works exclusively with AEC firms.
Shikun & Binui (S&B) USA
Director of Strategy and Development
Directed strategy that drove a $500M increase in annual bookings.
Read the case study
Partner Communications
Strategic GTM Consulting
Advised on go-to-market strategy as Partner expanded beyond its core telecom business into home energy supply under the Partner Power brand, in partnership with OPC Energy. Scope covered market-entry structuring, the energy-partner relationship, and customer offer design across multiple rate plans, including fixed-discount and time-of-use options. The new division launched successfully to Partner's existing customer base and the wider public.
Thread AI
Business Manager
Managed business operations through a period that saw company valuation increase 100%.
Loot Financial Services
Head of Sales & Partnerships
Built and scaled strategic partnerships in a competitive fintech market, directly growing partner-driven revenue through senior-level commercial relationships.
Phoenix Investment House
Strategic GTM and Hyper-growth Consulting
Grew the client base 3x through go-to-market strategy and hyper-growth execution.
How it works
Start small. Prove it. Then scale.
- 12 weeks
AI Impact Diagnostic
Benchmark against industry medians, audit workflows, pick the two use cases, set the dollar target and baseline.
- 290 days
90-Day Execution Sprint
Build, integrate, train, go live. Weekly check-ins; partner readout at day 90.
- 3Ongoing · optional
Fractional Chief AI Officer
One new workflow per quarter, quarterly ROI report to partners, tool and vendor governance.
Pricing
Fixed fees. A guarantee on the result.
AI Impact Diagnostic
$7,500
2 weeks · fully credited to the Sprint
Benchmark, audit workflows, and pick the two use cases.
90-Day Execution Sprint
$45,000
90 days · ($15,000/mo × 3)
Build, integrate, train, and go live with both workflows.
Fractional Chief AI Officer
from $8,000/mo
6-month minimum
One new workflow per quarter and a quarterly ROI report to partners.
If both workflows aren't live and in weekly use by day 90, and saving at least 150 staff hours a month against the agreed baseline, we keep working at no fee until they are.
Guarantee requires a named internal owner and data access within 10 business days.
Who it's for
Built for AEC firms with 25 to 250 people.
Architecture, engineering and infrastructure design firms, plus construction firms, that already use AI tools and want results they can measure.
Not a fit if you want a chatbot demo, have no AI use yet, or can't share baseline numbers.
AEC experience
About
I'm Eido Almog, former Director of Strategy & Development at Shikun & Binui USA and strategy consultant at MNS Consulting, with an MBA from London Business School. I've owned growth targets inside an AEC business. Now I own your AI results.
Read the full storyWhy AI pilots stall
Most pilots fail for three reasons. All three are fixable.
No owner.
The partners approve it, then it goes to whoever has spare time.
Tools without workflows.
Software gets bought, but nobody redesigns the process around it.
No baseline, so no proof.
Without starting numbers, nobody can show what AI actually returned.
Our program ends with a guarantee: both workflows live and saving 150 staff hours a month by day 90, or we keep working at no fee.
Book a Diagnostic CallGet into the 38%*.
Every diagnostic call ends with your AI Opportunity Map: the first workflows we'd automate in your firm, and the hours they'd return.