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Sharemeister · AI Audit Report

Acme Co.

Prepared April 26, 2026 · Fast Audit · 47 systems analyzed

What we found

Executive Summary

Annual savings identified

$194,200

New revenue opportunity

$324,000

Critical risks

5

Hrs/week recovered

~31

Acme Co. is running 6 overlapping systems that don't share data, paying for tools priced for a team 4× its size, and losing ~58% of free-trial signups to zero follow-up. The total identified year-1 financial impact is $484,700 — cost reductions ($194,200/yr), revenue lift from marketing and automation fixes ($324,000), offset by one-time build costs.

Five findings are flagged critical on security, runtime risk, or business continuity and should be remediated within 30 days regardless of which other recommendations you accept.

Methodology

What We Audited

Read-only access to your AWS account (us-east-1, us-west-2), GitHub organization (4 repos), Stripe, and the 18 third-party SaaS tools you listed. Analysis ran across:

  • 14 AWS service categories via Cost Explorer, Compute Optimizer, Trusted Advisor, Security Hub, IAM Access Analyzer, and CloudWatch (90-day window)
  • Static code analysis on 217k lines across 4 repos (dependency versions, EOL detection, security scanners)
  • SaaS feature usage cross-referenced against your team size and observed workflow patterns
  • Public web property scans on your 3 customer-facing surfaces (Lighthouse, accessibility, conversion-funnel structure)

Finding 1 of 6

Cloud Cost Waste

Annual savings

$50,400

RDS instance over-provisioned by 4×

HIGH

What we found

Your db.m5.2xlarge runs at 4–8% CPU, 35% memory across 90 days. Connections peak at 47 of 1,000 available.

Why it matters

Right-sizing to db.t4g.large (Graviton/ARM) gives 2× headroom on every dimension while cutting cost.

Impact

$1,180/mo savings · $14,160/yr · 8-min reboot window.

Three EC2 instances idle for 60+ days

HIGH

What we found

i-0a1b2c3d4 (m5.large), i-0e5f6g7h8 (c5.xlarge), i-0i9j0k1l2 (r5.large) show <1% CPU and zero network egress since Feb 2026.

Why it matters

These look like leftover staging boxes from the Q1 platform migration. No traffic touches them.

Impact

$540/mo savings · $6,480/yr · zero risk.

No Reserved Instance coverage

MEDIUM

What we found

100% on-demand pricing across compute and RDS. RI coverage on stable workloads = 0%.

Why it matters

Identified $84k/yr of compute that has run continuously for 18+ months — the textbook 1-yr no-upfront RI candidate.

Impact

$1,950/mo savings · $23,400/yr · zero technical risk, just a billing change.

S3 storage class drift

MEDIUM

What we found

2.4 TB of objects in 6 buckets last accessed 12+ months ago, still on Standard.

Why it matters

Lifecycle policies to Glacier Instant Retrieval keep millisecond access while cutting storage cost 68%.

Impact

$380/mo savings · $4,560/yr · zero application change.

CloudWatch log retention = forever

LOW

What we found

14 log groups have no retention policy; 870 GB of logs retained indefinitely, growing 22 GB/mo.

Why it matters

Most log groups need 30–90 day retention for debugging and compliance.

Impact

$150/mo savings · $1,800/yr.

Finding 2 of 6

Security & Risk Gaps

Production RDS publicly accessible

CRITICAL

What we found

Your primary database accepts connections from 0.0.0.0/0 on port 5432. Master username is the default 'postgres'.

Why it matters

A misconfigured security group is the #1 cause of database breaches in startups. This one is one nmap away from being in someone's leak DB.

Impact

Move RDS into a private subnet, route the API through a NAT or VPC endpoint. ~4 hours of work. Eliminates the largest single-point-of-failure in your stack.

Node.js v14 (EOL April 2023) in production

CRITICAL

What we found

2 of 4 services run Node 14, which stopped receiving security patches 3 years ago. 11 known unpatched CVEs apply to your dependency tree.

Why it matters

Each month on EOL Node compounds risk. The newest Node 14 patch is from 2023; nothing new lands.

Impact

Migrate to Node 20 LTS. With your code surface, the lift is ~2–3 days. Compliance auditors flag EOL runtimes as a hard fail.

Secrets stored in K8s deployment manifest

CRITICAL

What we found

STRIPE_SECRET_KEY, AWS_SECRET_ACCESS_KEY, and SENDGRID_API_KEY are committed to your sharemeister-crm-api manifest in plaintext.

Why it matters

Anyone with read access to the cluster — including ex-employees with stale kubeconfigs — can read these. They're also in your git history.

Impact

Move to AWS Secrets Manager + K8s External Secrets Operator. ~6 hours. Rotate all three keys after migration.

No MFA on AWS root account

CRITICAL

What we found

The root account has been used 3× in the last 90 days for billing changes, with no MFA device attached.

Why it matters

Root compromise = total cloud takeover. AWS treats this as the single highest-priority security finding.

Impact

Attach a hardware key (YubiKey ~$50) to root, lock the credentials in a safe, do everything else as IAM users. 15 minutes.

14 IAM users with console access, 9 unused 90+ days

MEDIUM

What we found

Of 14 human IAM users, 9 haven't logged in since January. 6 have admin policies attached.

Why it matters

Stale admin accounts are the second most common breach vector after exposed databases.

Impact

Disable the 9 unused users. Move active users to SSO via AWS IAM Identity Center. ~2 hours.

Finding 3 of 6

SaaS Replacement Opportunities

Annual savings

$87,000

You listed 18 SaaS tools in the intake. We analyzed each for: feature usage, annual cost, headcount-adjusted ROI, and how cheaply the slice you actually use could be rebuilt. Six tools surfaced as strong replacement candidates.

Salesforce

Year-1 savings

$36,000

Current cost
$54,000/yr (10 seats × $450/mo)
Build cost
~$18k one-time (3 weeks)
Actual usage
3 of 47 features used: contact records, deal pipeline, basic reports.
Replacement
A focused CRM (Postgres + Next.js) covering exactly your 3 features.

Zapier

Year-1 savings

$7,400

Current cost
$11,400/yr (Professional plan, ~120k tasks/mo)
Build cost
~$4k one-time (1 week)
Actual usage
14 active Zaps. 9 are simple Stripe → Slack / form → email forwards.
Replacement
14 AWS Lambda functions on a schedule or webhook. Same workflows, ~10× faster, no rate limits.

Calendly Teams

Year-1 savings

$2,100

Current cost
$3,600/yr (15 seats × $20/mo)
Build cost
~$1.5k one-time (3 days)
Actual usage
Team round-robin scheduling + Stripe payment collection at booking.
Replacement
Cal.com self-hosted on existing infra. Same features, you own the data.

Intercom

Year-1 savings

$19,640

Current cost
$28,800/yr (Pro + Fin AI seats)
Build cost
~$8k one-time (2 weeks)
Actual usage
Chat widget, 3 saved replies, knowledge base of 12 articles. Fin AI handles ~22% of tickets.
Replacement
Crisp Chat ($95/mo) for the widget; in-house Claude-powered FAQ bot covering 80%+ of common questions.

Mailchimp

Year-1 savings

$7,200

Current cost
$10,200/yr (Standard, 80k contacts)
Build cost
~$3k one-time
Actual usage
2 monthly newsletters, 3 transactional flows. No automation, no segmentation, no A/B tests.
Replacement
AWS SES + a thin admin UI. You already have SES set up for transactional.

LogRocket + FullStory (both)

Year-1 savings

$14,400

Current cost
$16,800/yr (overlapping plans)
Build cost
$0 — a phone call
Actual usage
Both purchased Q3 2025. Team consolidated to LogRocket-only by Q1 2026 but FullStory still billing.
Replacement
Cancel FullStory. PostHog (already in your stack) covers most of what's left.

Finding 4 of 6

Data Gaps & Automation

Hours saved / week

~31 hrs

Lead data is siloed — CRM, email, and billing don't talk

HIGH

What we found

Your leads exist in three places: HubSpot contacts, Mailchimp subscribers, and Stripe customers. No single source of truth. Sales reps manually reconcile before every call.

Why it matters

A unified customer record with automated sync eliminates the reconciliation step and surfaces purchase history, open emails, and last activity in one view.

Impact

~8 hrs/week saved across the sales team. ~$18k/yr in reclaimed labour. Eliminates ~12% of deals lost to stale contact data.

Onboarding is manual — 6 hand-off steps with no automation

HIGH

What we found

New customer onboarding requires 6 manual steps across 3 people: welcome email, account setup, Slack invite, billing confirmation, kickoff scheduling, and doc access.

Why it matters

All 6 steps can be triggered automatically off a single Stripe webhook. Zero human involvement for 80% of standard signups.

Impact

~15 hrs/week returned to the team. Eliminates the 3-day average delay between payment and first-touch.

Reporting is built in spreadsheets, not your data

MEDIUM

What we found

Weekly revenue and usage reports are manually assembled in Google Sheets every Monday. Data pulled from 4 sources by hand.

Why it matters

A single reporting view pulling from your Postgres database replaces the assembly process entirely and runs in real time.

Impact

~8 hrs/week saved. Report latency drops from 48 hrs to live.

Finding 5 of 6

Marketing & Growth Engine

Revenue opportunity

$84,000

No drip sequence after free trial signup

HIGH

What we found

Users who sign up for a free trial receive one welcome email and nothing else. 58% never return after day 3.

Why it matters

A 5-step email sequence over 14 days — timed to usage signals, not just calendar days — is the industry standard recovery mechanism.

Impact

+6% cohort recovery at current volume = ~$41k/yr. ~2 days to build.

Email list of 22,000 contacts with no segmentation

HIGH

What we found

All 22,000 contacts receive the same broadcast email. No segments by plan, usage, industry, or lifecycle stage.

Why it matters

Segmenting by at minimum: trial vs. paid vs. churned, and by plan tier, lifts open rates 2–3× and conversion 40–60%.

Impact

Conservative +$43k/yr revenue lift from improved conversion. No additional list growth required.

No lead scoring — sales works every inbound equally

MEDIUM

What we found

Every demo request and contact form submission lands in the same queue regardless of company size, plan interest, or engagement signals.

Why it matters

Basic lead scoring on firmographic data (company size, domain) and behavioural signals (pages visited, emails opened) lets sales prioritise the top 20% that close at 3× the rate.

Impact

~30% increase in sales efficiency. Estimated +$84k first-year revenue uplift at current close rates.

Finding 6 of 6

Application Health & Team Efficiency

No monitoring or alerting — outages are user-reported

CRITICAL

What we found

There is no uptime monitor, error rate alert, or on-call rotation. The last three production incidents were reported by customers via support chat, not by internal tooling.

Why it matters

A $95/mo Grafana Cloud setup with a 5-minute Slack alert on error rate + uptime would have caught all three incidents within 2 minutes instead of 45.

Impact

~45-min average detection-to-alert improvement. Eliminates customer-reported downtime as the primary detection path.

Team of 12 paying for tools sized for 50+

HIGH

What we found

You have 14 active SaaS subscriptions. Based on seat counts and plan tiers, 6 of them are priced for teams 4× your current headcount.

Why it matters

Downsizing to headcount-appropriate plans — or consolidating where overlapping tools exist — cuts SaaS spend significantly without losing capability.

Impact

Estimated $28,800/yr in unnecessary seat costs based on your current tool list.

No internal documentation — knowledge lives in people

MEDIUM

What we found

Engineering runbooks, deployment procedures, and API credentials exist only in Slack threads and individual memory. Three key processes have no written record.

Why it matters

A lightweight internal wiki (Notion or a self-hosted Outline) with 3 core runbooks eliminates bus-factor risk and cuts new-hire ramp time.

Impact

~2 days to document. Estimated 3-week reduction in new engineer ramp time per hire.

Additional findings

Revenue Opportunities

Year-1 lift estimate

$240,000

Checkout: 4-step flow, industry median is 2

HIGH

What we found

Your purchase funnel is Cart → Account → Address → Payment → Confirm. Industry benchmark for SaaS-style purchases: 2 steps.

Why it matters

Stripe Checkout (which you already use elsewhere) handles all 4 steps in one hosted page with Apple Pay/Link prefill.

Impact

Conservative 18% conversion lift on $1.1M ARR-pace funnel = +$198k/yr. ~3 days of work.

No follow-up automation on abandoned trials

HIGH

What we found

42% of free-trial signups never complete onboarding. Zero touches go to that 42% after day-1.

Why it matters

A 3-email sequence over 14 days at industry-median open/conversion would recover ~6% of that cohort.

Impact

Estimated +$3.4k MRR / +$41k/yr. ~2 days of work + 30 min/wk to maintain.

Mobile site CLS = 0.31 (good is < 0.1)

MEDIUM

What we found

Cumulative Layout Shift on mobile is 3× the 'good' threshold. Hero image arrives last and pushes everything down.

Why it matters

Google Search Console shows organic mobile CTR is 28% below desktop — the layout shift is correlated with above-the-fold abandonment.

Impact

Set image width/height attributes + preload hero. ~2 hours. Industry data suggests +1–3% organic conversion.

What to do first

90-Day Prioritized Roadmap

Week 1Critical Fixes — Zero Cost, Maximum Risk Reduction
  • 01Move RDS to private subnet + rotate master password ($0, eliminates top breach risk)
  • 02Attach hardware MFA to AWS root, disable 9 unused IAM users (15 min)
  • 03Wire uptime + error-rate alerts to Slack via Grafana Cloud ($95/mo vs. next outage cost)
  • 04Cancel duplicate FullStory billing — one phone call, $14,400/yr saved
Weeks 2–4High-ROI Quick Wins
  • 01Right-size compute to db.t4g.large + buy 1-yr RIs ($37,560/yr combined)
  • 02Migrate secrets to AWS Secrets Manager + rotate all three keys
  • 03Collapse checkout to Stripe Checkout 1-page flow (+$198k/yr estimated revenue lift)
  • 04Launch 5-step trial drip sequence off existing SES setup (+$41k/yr estimated)
Months 2–3Data, Automation & Strategic Replacements
  • 01Unify CRM → email → billing into a single customer record (replaces 3 manual reconciliation processes, 8 hrs/wk)
  • 02Automate 6-step onboarding off Stripe webhook — removes 15 hrs/wk of manual work
  • 03Segment 22,000-contact list by plan + lifecycle; set up 3 targeted flows (+$43k/yr lift)
  • 04Build internal Postgres reporting view — kills Monday morning Sheets assembly (8 hrs/wk)
  • 05Migrate Node 14 → Node 20 LTS, replace Salesforce + Zapier ($43,400/yr combined)

Bottom line

Year-1 Financial Impact

Cloud cost savings (annualized)$50,400
SaaS replacement savings (annualized)$87,000
Automation & data gap savings (annualized)$56,800
Revenue lift — marketing & funnel automation$84,000
Revenue lift — UX + conversion fixes$240,000
One-time build cost (offset across year-1)−$33,500
Net year-1 impact$484,700

ROI on your audit: 971× in year one.

Three ways to engage

What's Next

Consult

$2,500/mo retainer

We brief your team monthly, review progress, and update the report quarterly. You execute.

Manage

$10–25k/mo

We project-manage the roadmap end-to-end with your existing team. We own the outcomes, you own the systems.

Build

Fixed-bid per project

We build and ship the replacement systems (CRM, automation, FAQ bot) as separately scoped engagements.

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