NetGrid Communications NetGrid Communications Request a blueprint
Two-week engagement · MIT-trained team

You know ai matters.
We tell you exactly where it pays.

The Netgrid AI Blueprint is a two-week diagnostic that ends in a board-grade roadmap: every candidate use case scored on value and ease of implementation, sequenced into waves, with a defensible ROI model and a build plan your engineers can execute.

netgrid — blueprint engine question 71 / ~104
adaptive discovery · next question selected from the last answer
Scored
0
Quick wins
0
Modeled value
Typical outcomes · measured on real engagements
see the full case →
Oil & gas
36%
Reduction in unplanned downtime for a midstream operator
Oil & gas
$2.6M
Annual cost savings from that single predictive-maintenance program
Insider risk
61%
Drop in sensitive-data exposure events within 90 days of deployment
AI cost
43%
Lower inference spend after moving eligible workloads to local models
The deliverable

The Netgrid AI Blueprint

Two weeks of structured discovery with your operators, your data, and your constraints. You end with a written roadmap at the scale of a top-tier strategy engagement — and, unlike one, a build plan specific enough to hand to engineering on day fifteen.

Use-case portfolio, fully scored
Every candidate rated on business value and ease of implementation, placed in a quadrant, and allocated across deploy / reshape / invent horizons.
Defensible ROI model
Conservative, expected and optimistic scenarios with a stated accuracy band, a realization haircut applied before any dollar is claimed, and a ramp-adjusted year-one position — including when it is negative.
Sequenced implementation waves
What to build first and why, prerequisites per wave, data and integration dependencies, and the governance gates that have to clear before deployment.
Architecture and hosting posture
Local, private-cloud or API models per workload, sized against your compliance obligations and your unit economics rather than a vendor's roadmap.
Value / ease matrix
p.09
FILL-IN
QUICK WIN
STRATEGIC BET
REVISIT
← ease of implementation → value ↑
ROI scenario view
p.14
Conservative — focused scope
$1.1M
Expected — recommended scope
$2.6M
Optimistic — comprehensive scope
$3.3M
Budgetary estimate, accuracy band −40% / +100%. Realization factor ×0.7 applied.
Wave sequencing
p.17
WAVE 1
WAVE 2
WAVE 3
Representative pages. Figures shown are illustrative.
Ten working days

How the engagement runs

Select a phase to see what happens and what you get at the end of it.

Output
Selected work

Three problems, three different answers

Clients are anonymized by industry at their request. Figures are as measured against the pre-deployment baseline.

Problem

Approach

Stack

Measured result
How we engage

The blueprint is the front door. It is not the whole practice.

Four fixed-scope engagements. Most clients start with one and pull the next forward when the first pays for itself.

01 · Strategy 2 weeks

Netgrid AI Blueprint

Structured discovery across your functions, every candidate use case scored on value and ease, sequenced into waves and modeled for ROI. Ends in a board-grade written roadmap and a ninety-day action plan.

for: leadership teams deciding where to start
02 · Cost 3 weeks

AI cost reduction audit

Your AI spend, line by line: which workloads are paying frontier-model rates for work a smaller or local model does at equal quality. Model routing, caching, distillation and GPU sizing, with the saving proven against your current invoices before you commit to anything.

for: teams whose AI bill is growing faster than the value
03 · Security 4–6 weeks

Insider risk & shadow AI

Your staff are already using free consumer AI tools, and client records, contract language and source code are going into them. We measure what is actually leaving, classify what is genuinely sensitive inside your perimeter, score risk by user and role, and stand up a sanctioned assistant fast enough that people stop routing around policy.

for: security leaders with no visibility into prompt traffic
04 · Build ongoing

Embedded build & advisory

Our practitioners sit with your engineers and ship wave one: models trained and served, evaluation harnesses in CI, monitoring and retraining schedules, and a handover that leaves your team able to run it without us.

for: organizations with a roadmap and no bandwidth
Delivered alongside
Global strategy consultancy
joint AI diagnostic · 2 engagements
Big Four advisory practice
technical subcontract · model validation
Global systems integrator
architecture review · on-prem serving
Fortune 100 in-house teams
embedded build · predictive analytics
Partner and client names withheld under engagement terms.
Who does the work

MIT-trained. PhD-level. Hands on the keyboard.

The people who run your discovery sessions are the people who have shipped the models. Our practitioners hold graduate degrees in machine learning, operations research and applied statistics, and they have carried production systems through regulated environments where being wrong is expensive.

MIT-trained
Engagement leadership
PhD-level
ML and applied statistics practitioners
10 days
From kickoff to delivered roadmap
On-prem capable
Local model builds where data cannot leave
01 Machine learning and predictive analytics

Forecasting, anomaly detection, survival and failure models, optimization under constraint. Built against your telemetry, validated against a held-out baseline you can audit.

02 AI cost engineering

Token economics, model routing, caching and distillation. We size each workload to the smallest model that holds quality, then prove the saving against your current bill.

03 Local and private model builds

Open-weight models fine-tuned and served inside your perimeter, with GPU sizing, throughput budgets and an evaluation harness that runs on every release.

04 AI governance and insider risk

Visibility into what staff are sending to consumer AI tools, classification of what is actually sensitive, and a sanctioned path that is faster than the shadow one.

Order-of-magnitude model

What is the work worth?

Move the inputs to see the shape of the number. The blueprint replaces these assumptions with your measured baselines.

900
$85/hr
5 hrs/week
30%
Modeled annual value, realization-adjusted
$3.86M
Gross recoverable $5.51M before a ×0.7 realization haircut for execution and adoption risk — the same discipline applied in the blueprint itself.
Conservative
$2.31M
Optimistic
$5.01M
Hours returned / yr
64,800
Estimate class
−40/+100
Illustrative only. A real model separates labour recovery from latency and revenue effects, and never blends a wall-clock baseline with an hourly rate.
Five questions

Where would a blueprint start for you?

Answer honestly — the useful answer is usually the uncomfortable one. Nothing is stored; the result is a starting point for the first conversation.

What clients say
“We had spent a year arguing about which AI project to fund. Netgrid scored all of them in ten days and told us the one we were most attached to should go third. That was worth the engagement on its own.”
VP Operations
National ride-share platform
“The ROI model was the first one I have been handed that showed me a negative first year. It made me trust the rest of the document. Our CFO signed it without a second meeting.”
Director of Reliability Engineering
Midstream oil & gas operator
“They found sensitive data leaving through tools we did not know staff were using, and then built the sanctioned alternative fast enough that people actually preferred it. Nothing left the perimeter.”
Chief Information Security Officer
Regional financial services firm
Quotes and client identities anonymized at client request.
Start here

Two weeks from now you could know exactly what to build.

Tell us a little about the company and we will come back with a scoping call, an outline of what your blueprint would cover, and a sample of the deliverable.

Direct
info@netgrid.org
NetGrid Communications · netgrid.org
Goes to info@netgrid.org. We reply within one business day.