For Marketing · Engagement Plan
Raise the bar, with AI.
AIA Engineering | Ahmedabad | May 2026
The shift
"The reference point. Developed the first cast chromium balls in 1950. The technology benchmark."
"Lean heavily on instrumentation and lifecycle costing. Published marked-ball wear tests at named mines."
"Already in your backyard. Use them as the price anchor and the inventory-buffer supplier."
AIA doesn't have a product problem. It has a publishing problem.
Excerpts from a Claude response, May 2026
The moat
40 yrs
of mine-by-mine wear records
100+
unique mine, ore and media combinations
120
countries with live application data
Generic AI gives generic copy. AI on AIA's data gives content only AIA can publish.
The plan
We don't run AIA's marketing. We build the muscle into the team. We ship the first ten things side by side, then you own it.
Step 01
Weeks 1-2
Audit what AI says about AIA today. Define the Tier 1 accounts the content is pointed at.
Step 02
Weeks 2-4
Mine 40 years of internal trial reports into a sanitized, structured corpus AI can publish from.
Step 03
Weeks 3-4
Interview Bhadresh, the Chief Metallurgist, a Vega lead. Build voice profiles that don't sound like AI.
Step 04
Weeks 4-7
Stand up the engine. First 8 weeks of posts, 5 case studies, the sales briefing agent, employee advocacy.
Step 05
Weeks 7-8 +
Hand over the playbook. Train the team. Monthly office hours. Quarterly AI shelf re-audit.
Each step has one job. Each step ships something tangible.
Step 01
Weeks 1-2
Run the AI Shelf Audit. Run the ICP workshop. Know where you stand and who you're aiming at.
What we do
Output A baseline AI Shelf score showing AIA today vs Magotteaux, Molycop, Weir, FLSmidth. Plus a target list of 50 accounts and ~250 named buyers the content will be pointed at.
Step 02
Weeks 2-4
Mine AIA's own data into a corpus AI can publish from. This is the step most consultants skip and the one that makes the difference.
What we do
Output A clean internal RAG corpus that becomes the fuel for every piece of content. Without this, AI gives you generic copy. With it, AI produces content only AIA could publish.
Step 03
Weeks 3-4 (parallel to Step 2)
Record the human voices before any content gets written. The reason AI marketing fails in technical sales is that it sounds like AI.
What we do
Output Three voice profiles that produce drafts in each person's actual voice. The person edits. They do not write.
Step 04
Weeks 4-7
Stand up the engine and ship the first eight weeks. Five distinct things go live.
What ships
Output A working publishing system shipping 6-8 posts/week, 5 published case studies, an active sales briefing agent, and 15 amplifying field engineers in 4 languages.
Step 05
Weeks 7-8 + ongoing
Hand over the keys to AIA's team. Otherwise we have built a dependency, not a capability.
What we do
Output AIA's team owns the engine. Success metric: the AI Shelf Audit moves from "AIA gets a line" to "AIA gets a paragraph with named experts and named numbers."
The shape
We don't run your marketing. We build the muscle, ship the first ten things with you, then come back monthly to raise the bar.