DEEP MIST
AI

100+

production runbooks shipped since 2019

45min to 14min

largest single-task reduction, logistics carrier onboarding 2025

24h to 10d

delivery range across Lite-Pro tiers

99.99%

production uptime across 100+ runbooks, 12-month rolling as of 2026-05-22

WHAT IT DOES

Pick the runbook. We'll retire the work.

Four shapes that show up in every ops team. Yours probably looks like one of these.

Report automation

  • Multi-source pull
  • Templated output
  • Scheduled run
  • Auto-distribute
  • History log

Ticket triage

  • Classify
  • Route
  • Add context
  • Priority score
  • Reviewer queue

Approval routing

  • Policy lookup
  • Approver chain
  • Deadline tracking
  • History log
  • Can be undone

Data sync between systems

  • Two-way
  • Conflict resolution
  • Test mode
  • Catch up historical data
  • Human alert on failure

THE CLAIM, PROVEN

What a real run looks like. Step by step.

The 100+ runbooks above are not abstractions. Each one produces a history like this. Five entries from a representative morning, 17 seconds apart.

Run ledger · representative sample

TimestampTaskSystemOutcome and gate
09:14:02 TueInvoice $4,820, vendor Westport LogisticsNetSuiteAuto-matched to PO #8821, posted to AP queueAuto-approved
09:14:08 TueExpense report $312, employee J. ChenConcurRouted to L. Martinez for approval (deadline 24h)Human approval
09:14:11 TueInvoice $42,150, vendor AcmeServNetSuiteLine-item confidence 78%, paused for reviewHuman approval
09:14:14 TueTicket #18293, "carrier outage"ZendeskClassified as ops-priority-1, routed to ops queueAuto-approved
09:14:19 TueApproval request $87,500, contractBox + DocuSignConnected system timed out, paged on-call ops engineerPaged on-call

WHY MOST AI BUILDS NEVER SHIP

Three failure modes. Three answers.

Three patterns show up in every failed AI build, from Gartner and McKinsey data over the past 24 months. Each one stops a build before production. Each one has a fix.

38%

Gartner 2026

Failed AI projects cite poor data quality and siloed systems.

We map your data sources in discovery, before we write a line of code. If the integration will not hold, we tell you in week 1, not month 3.

70%

McKinsey 2024

Of AI initiatives stall in pilot and never reach production.

Every build ships with a test-mode window where you watch the system run against your real data before it touches anything. If it does not pass test, it does not ship.

57%

Gartner 2026

Of failed AI projects expected too much from AI, too quickly.

We do not promise a full back-office overhaul. We ship one runbook at a time, scoped and priced before kickoff. No moving targets, no surprise scope.

RECENT DEPLOYMENTS

What a runbook looks like in production.

Three recent builds, anonymized by client agreement. Real processes, real time reclaimed, real build windows.

FREIGHT BROKERAGE · 180 EMPLOYEES

Carrier onboarding runbook

28 hrs/week reclaimed9-day build

Pulls FMCSA data, runs compliance checks, routes flagged carriers to one named dispatcher for review. Cut average carrier onboarding from a 4-day backlog to same-day.

B2B SAAS · 900 EMPLOYEES

Weekly revenue reporting

12 hrs/week reclaimed4-day build

Pulls from Stripe, HubSpot, and a Google Sheets P&L; reconciles, formats, and sends Monday 7am. Finance team reviews exceptions only.

HEALTHCARE STAFFING · 1,400 EMPLOYEES

Credential verification queue

34 hrs/week reclaimed11-day build

Checks state license boards nightly, flags expirations 90 days out, logs every check to the ATS audit trail. Compliance team signs off weekly.

WHY IT HOLDS UP

Engineered to run unattended. Not unsupervised.

Four capabilities that decide whether an automation holds up the first night it runs without you.

Named checkpoints, not blind trust

Every runbook ships with named gates where a human signs off before the workflow continues. You choose which steps are auto, which are review, and which are blocked until a person approves.

"Approval pending: Sarah Chen, SLA 4h."
Named on-call, not a support ticket

When the system isn't certain enough to proceed, a connected service fails, or a step takes too long, the workflow stops and alerts a named person on your team with the context attached. It never retries silently.

"Step 3 failed. Paged @on-call-ops. Context attached."
Signed audit trail on every run

Every step, every decision, every retry is logged. Exportable as a signed audit trail for SOC 2, internal compliance, or security-team review. Searchable by run ID, user, or system touched.

"Run #4821. 14 steps. 12 auto. 2 human. Signed."
Dry-run before it touches production

Every runbook can be staged against your production data without committing changes. Every action records a way to undo it where the connected system supports it. You see what would happen before it does.

"Dry-run complete. 142 writes queued. Commit?"

PLUGS INTO YOUR STACK

We connect what your team already uses.

Ticketing
  • Zendesk
  • Linear
  • Jira
  • Freshdesk
ERP / Finance
  • NetSuite
  • QuickBooks
  • SAP
  • Xero
Comms
  • Slack
  • Teams
  • Email
  • Twilio
Storage
  • S3
  • SharePoint
  • GDrive
  • Box
Observability
  • Datadog
  • Sentry
  • PagerDuty
  • New Relic

Or anything else with an API. Yours included.

Runs where your data lives

Your security team's access list signed off before production. We build the workflow inside your VPC, on-prem, or your cloud account. Your servers, your data.

On the record

“We had a 5-week timeline from a standard automation shop. The runbook was in production on day 11 and my compliance team had the audit log they needed to sign off on day 14. Two billing errors caught in the first week paid for the build.”

VP Operations · regional logistics carrier, 200 employees

HONEST PRICING

Less than Zapier plus a consultant. And it actually ships.

Three tiers below typical Zapier-plus-consultant spend. One Bespoke for everything else.

Build price
Boutique AI build shops
$50,000-$200,000
Deep Mist build
from $14,995
Time to pilot
Boutique AI build shops
4 to 16 weeks
Deep Mist build
3 to 14 days

Zapier plus a consultant is a Frankenstein. We ship a single owned system, in a week.

Workflow Lite

One process. Stable inputs, test mode before production.

from $14,995

from $40,000 typical

Small AI build entry

BUILDS IN 3-5 DAYS

  • One runbook end to end
  • Dry-run mode before production cutover
  • Failure handoff to a named human
  • Audit log of every action
  • One round of revisions
MOST CHOSEN

Workflow Standard

Multi-system process. Human approval at the steps you choose. Full action history.

from $39,995

from $110,000 typical

Mid AI build midpoint

BUILDS IN 7-10 DAYS

  • Up to 5 connected systems
  • Human-in-the-loop checkpoints at chosen gates
  • Dry-run + reversible / undo mode
  • SOC 2 / VPC available
  • Failure handoff with named on-call
  • Slack / email observability hooks
  • 2 rounds of revisions

Workflow Pro

Mission-critical process. Built for regulated environments. Multi-region failover.

from $99,995

from $260,000 typical

Premium ops automation floor

BUILDS IN 10-14 DAYS

  • Everything in Standard
  • Unlimited connected systems
  • SOC 2 / HIPAA / VPC / on-prem deployments
  • Multi-region failover
  • PagerDuty / Datadog / Sentry integration
  • Dedicated build team
  • On-call production support team option
  • Unlimited revisions during build window

Bespoke

Anything you can imagine.

from $179,995

custom typical

Custom contract floor

BUILDS IN 14-30 DAYS

  • Everything in Pro
  • Custom architecture (air-gapped, multi-tenant, large-scale)
  • Custom integrations (internal APIs, ERP, EHR, legacy SAP)
  • Existing automation tool interop (we wire into your existing Workato, n8n, or similar)
  • Dedicated senior team for the build
  • Dedicated on-call production support

Every build price above is fixed once we agree on scope.

WHAT IT SAVES

The math, on a real scope. Numbers, not promises.

A mid-market logistics carrier, 200 employees, one runbook. Inputs, math, payback.

Worked example · mid-market logistics carrier · 200 employees

HOURS / WEEK ON THIS PROCESS

30 hours

3 ops staff splitting carrier onboarding

BLENDED LOADED RATE

$55/hr

Salary + benefits + overhead

ANNUAL LABOR COST

$85,800

30h × 52 weeks × $55

BUILD · STANDARD TIER

$39,995

7-10 day build

ANNUAL SAVINGS (70%)

$60,060

Hours moved off team

PAYBACK

8 months

Savings continue thereafter

Methodology: McKinsey's November 2025 study found 57% of US work hours are technically automatable across the US economy, with administrative and back-office roles running higher than the average. The 70% used above is anchored above that cross-economy baseline for multi-system process hours. The remaining 30% stays human for signoff, edge cases, and exceptions.

Your math will differ. Bring your numbers; the workflow audit above runs the integration-backed version.

HOW WE'D BUILD YOURS

From runbook diagram to production. In days, not quarters.

3 to 14 business days from discovery to production. Less than what typical automation tools take to scope.

1

Discovery

0 to 1 day

We listen to the runbook. Who runs it today, which systems it touches, what failure looks like, and where humans need to stay in the loop. You walk us through 3-5 real runs. We pick the tier with you.

  • Scope memo (2-3 pages)
  • Process map draft
  • Tier recommendation

2

Map the runbook

1 to 2 days

We diagram every step, every system, every decision point, every failure mode. Edge-case branches and exit ramps to humans are explicit. You sign off on the map before any code is written.

  • Full process diagram
  • Decision-point catalog
  • Edge-case + exit-ramp list

3

Build + test

3 to 7 days

We build the runbook end to end and stage it against a copy of your real data in test mode. Your team watches the queued write set. We iterate on the approval points and thresholds within hours, not weeks.

  • Working runbook in test mode
  • Daily status note
  • Iteration on approval points and thresholds

4

Go live with a human in the loop

Day 0 onward

Cutover with a human approval point on every run. Continuous monitoring. Weekly review for the first month. We hand over the keys, you tell us when to come back.

  • Production cutover
  • Weekly review for month 1
  • Handoff documentation

Pairs well with

Tell us the runbook. We'll retire it.

Walk us through one runbook: who runs it today, which systems it touches, where the humans need to stay in the loop. We'll reply with a real number and a real timeline.