FREE · AI READINESS SNAPSHOT · 30 MIN · NO SLIDES
For funded teams · Rev. 2026.05

Your team is already using AI.
Nobody's checked if it's actually safe or saving you anything.

gigaflop · ai-eval-runner
EVALreadiness-snapshot.v1
SCOPEops · risk · spend
DURATION30min call + brief

Hours leakingscan ✓ READY
Output integrityscan ✓ READY
Security gapsscan ✓ READY
ROI mapscan ✓ READY

Cost to you$0.00
Book your slot? [y/n]
→ Same method behind 200+ shipped systems

Most AI enters a company quietly a chatbot here, a copilot there, an automation someone wired together over a weekend. None of it audited. That's exactly how prompt injection, silent accuracy drift, and exposed customer data end up running in production.

In 30 minutes we map two things: where AI can genuinely cut hours from your operations, and where it's quietly creating risk. A short call plus a written brief built on the same audit method behind 200+ shipped systems.

14 yrs engineering 200+ systems shipped USD-billed US · UK · EU · APAC
001 / Shipped
200+
Production systems
002 / Retention
90%
Retainer renewal
003 / Audit → build
70%
Convert to engagement
004 / Don't-build
~30%
Audits ending in "no"
Section01
Why this matters now

Most AI adoption is faster than the team managing it.

→ LIVE
Recognition

AI tools got into your business through the side door a copilot here, a chatbot there, a script someone shipped on a Friday. None of it was audited. So three things are usually true at the same time:

→ 01
Hours leaking
Invoice processing, reporting, ticket triage, manual approvals repetitive work that could run itself, still done by hand.
→ 02
Outputs nobody checks
Confidently wrong answers reaching customers or your books. Accuracy drifts silently and no one's watching the line.
→ 03
Quiet security gaps
Prompt injection, data leakage, tool misuse. The kind of thing that gets caught publicly instead of internally.
→ 04
Spend with no ROI line
Experimentation that never became a system.

The Snapshot tells you which of these is true for you and which one to fix first.

Section02
What you actually get

A free 30 minute Snapshot.
Real findings, not a sales call.

FREE
~30 min · written brief
01 / The call
30 minutes with an engineer.

Spent with someone who ships AI for a living, not an account manager. Real questions, real diagnosis. No pitch deck, no generic AI-strategy slides.

02 / The map
A short written summary.

Where you can automate, ranked by hours saved. Where you're exposed, ranked by risk. Plain English, prioritized by impact.

03 / The honest read
"Don't build" is on the table.

If AI isn't your priority yet, we say so. ~30% of our audits end exactly there. You leave smarter, not signed.

What the Snapshot is

A focused, free diagnostic to surface the 2–3 highest-value automation or risk areas in your operation.

What it isn't

The full A1 Audit + Red-Team (our paid, 4–6 week, ~30-page engagement). If the Snapshot surfaces something worth going deep on, that's the natural next step but you'll never be pushed there.

Section03
Fit check

Honest about who this helps.

QUALIFIER
Read both columns

✓ This is for you if

  • You're running a funded, revenue-generating team (roughly Series A–C SaaS, or a scaling D2C / e-commerce brand).
  • AI or automation already touches your operations and nobody owns whether it works or whether it's safe.
  • You want hours back without adding headcount.
  • You'd rather hear "don't build this" than be sold something.

Probably not yet if

  • You're pre-revenue or pre-ICP your highest-value move is usually growth, not automation.
  • You need a one-off prototype that just has to exist (a freelancer is cheaper).
  • You're shopping for the lowest bid. We're fixed-price and production-grade, not the cheapest line item.
Section03b
Why most AI breaks

Most AI demos look impressive. Very few survive production.

DIFFERENTIATION
Anti-hype

The agencies shipping pretty AI demos and the teams running production AI are solving completely different problems. A demo has to work once, on stage. A production system has to work every day, on data it's never seen, without leaking anything.

Production AI requires the boring infrastructure underneath —

  • → 01
    Evaluation pipelines
    So you catch accuracy drift before a customer does.
  • → 02
    Monitoring
    So a silent failure isn't a silent failure.
  • → 03
    Security hardening
    Prompt injection, data leakage, tool misuse — closed.
  • → 04
    Operational reliability
    It runs when you're asleep.
  • → 05
    Failure handling
    It degrades gracefully instead of confidently lying.

That's the work we do. And sometimes the right answer is still: "Don't build this yet."

Section04
Outcomes, shipped to production

We don't pitch.
We point at what we've shipped.

→ VERIFIED
3 of 200+ cases
→ Card A · AI Agent
3 FTEs
Replaced 3 FTEs of invoice processing with one AI agent.
Series A B2B fintech: 12K invoices/month at 96% straight-through processing, ~$180K/yr saved without adding headcount.
A1 – A3 · 11 weeks
→ Card B · Cost Optimization
38%
Cut Snowflake spend 38% in six weeks.
Series B SaaS, ~$15M ARR. Annualized savings: $132K.
D1 – D3 · 8 weeks
→ Card C · Red-Team
23
23 critical issues fixed before launch not after.
Pre-launch red-team of a customer-facing AI assistant. Prompt injection, PII leakage, jailbreaks all shipped fixed.
A1 audit · 4 weeks
200+Systems shipped
90%Retainer retention
14 yrEngineering bench
70%Audit → build conv.
Section05
Four claims, each one testable

Most AI agencies ship a pretty demo. We ship the boring infrastructure that keeps it running.

DIFFERENTIATION
Falsifiable
→ 01
Practitioner-led.

The engineer on your call is the engineer who does the work. No strategy decks disconnected from delivery.

→ 02
Audit-first.

We earn the right to build by understanding what's actually there. ~30% of audits end in "don't build."

→ 03
Production-grade by default.

Eval pipelines, monitoring, runbooks, security hardening. Your team can run it after we leave.

→ 04
Honest about fit.

If a freelancer or an in-house hire is the better path, we'll tell you and write the JD.

Section06
Who you'll actually talk to

The founders are practitioners.
Both write code weekly.

→ ON CALLS
Not account mgrs
Co-founder · AI Engineering14 yrs
Siddharth Mishra
→ Production AI, red-team, eval pipelines

"Production AI without the science project."

30+ AI agents shipped to production in the last 24 months. Red-teams every system by default.

Co-founder · Data Engineering14 yrs
Shiwali Ratan Mishra
→ Data infrastructure, client strategy

"The unsexy plumbing that makes the rest work."

Leads the 14-year data engineering bench and cross-cutting client strategy.

Sister firm of DiscoverWebTech (est. 2012) · Same founders · Same bench · Since 2012
Section07
Things you're probably wondering

Common questions, answered straight.

FAQ
5 questions
Q / 01 Is the Snapshot really free? +

Yes. It's a 30-minute call plus a short written summary. No card, no commitment. Our paid A1 audit ($5K–$15K) is a separate, deeper engagement you'd only choose if the Snapshot surfaces something worth it.

Q / 02 We're not in the US can you work with us? +

Yes. We work across US, UK, EU, Australia, and Singapore, billing in USD, with 4 hours of committed timezone overlap.

Q / 03 Will you just try to sell us a big build? +

No. ~30% of our audits end with us recommending against building. We've turned down ~$400K of build work in 18 months.

Q / 04 What if our AI is already live? +

That's the most common case. We red-team live systems for prompt injection, data leakage, and accuracy drift — and tell you what's actually exposed.

Q / 05 How fast can we talk? +

Booking is instant via the calendar below. We hold a limited number of Snapshot slots per month.

→ Section 08a · Pick a slot

Book your free AI Readiness Snapshot.

→ What happens after you click

A real engineer reviews your stack before the call so the 30 minutes are diagnosis, not discovery.

You pick a slot, answer 3 short questions, and we read up on your business before we show up. No forms after.

  • 30 min · video call
  • No card · no obligation
  • Written brief follows within 48 hrs
  • Limited slots this month
Open the calendar →
→ Typical first-available
48 hrs
Booking slots open Mon–Fri across US, UK, EU, APAC time zones.
→ Who you'll meet
Founder
Siddharth or Shiwali both write code weekly. Not an SDR.
→ Section 08 · Start here

See where your business is leaking time and where AI is quietly a risk.

30 minutes. No slides. A short written snapshot afterward. If we're not the right fit, we'll point you to who is.

No card · No pitch deck · Limited slots this month · hello@gigafloptechlab.com
© Gigaflop Techlab · A practice of DiscoverWebTech (est. 2012) · gigafloptechlab.com
Free · 30 min · No slides AI Readiness Snapshot
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