Audit first · workflow systems

Find the work worth automating. Then build it properly.

We map the workflow before choosing the tool. Then we design the triggers, approvals, integrations, failure paths, and ownership around the part of your operation that is worth improving first.

live_runtime

Pick a trigger. Watch a system run.

This is a representative workflow, running in your browser. Click an input to see how a system can classify, enrich, decide, and execute with explicit policy and logging at each step.

runtime/inbound-ops · v2.4.1● LIVE
trigger.input
01
Trigger
input portal
02
support.bug
Classify
gpt-4o · vector
03
+12
Enrich
crm + clearbit
04
noyes →
Decide
policy engine
05
⌘@▷
Execute
multi-sink
stdout :: runtime.log

Want one of these mapped to your operation? Start with the 30-min audit and define the first workflow worth improving.

Book your free 30-min audit call
what_we_build

Build the backbone. Add the controls you need.

Some workflows can run quietly behind the scenes. Others need approvals, visibility, role-based access, or a manual handoff queue. The audit tells us which operating surface is appropriate.

Foundation · workflow system

AI Infrastructure.

Scoped on the auditownership and support written down

  • Workflow map and written scope for the first priority
  • Automation built with the right mix of platform, API, and custom code
  • AI agents connected to the systems that own the work
  • Monitoring, alerts, retries, approvals, and an audit trail
  • Documentation, ownership, and a clear operating handoff

runs invisibly. ops happens. you don't think about it.

scope_the_workflow
Control layer · when needed

Infrastructure + Control panel.

Scoped on the auditadds visibility and control where the operation needs it

  • Dashboard to trigger, pause, override, and replay approved actions
  • Activity feed, system telemetry, and agreed operating signals
  • Role-based access, approvals, and manual-handoff queues
  • Brand-matched UI for internal or client-facing workflows

for teams who want their ops visible, steerable, demo-ready.

scope_the_controls
Everyday examples

Automation, in plain words. The repeat work, done for you.

Every business has work that comes back each week. The same details get typed into several programs, and the same unpaid invoices get chased again. Automation hands that typing and chasing to software that does it on its own. Your team keeps the decisions and the customer relationships.

  • New inquiries

    By hand today
    Someone reads every email and form, copies the details into a spreadsheet and replies when there is a spare minute.
    Automated
    Each inquiry is saved and sorted as it arrives, the customer gets a first reply right away, and the right person gets a note.
  • Price quotes

    By hand today
    Someone digs out an old quote and types it again with today's prices.
    Automated
    A draft quote is put together from your own price list. You check it and send it.
  • Invoices and payments

    By hand today
    Invoices are typed up after each job, and payment reminders go out when someone remembers.
    Automated
    The invoice goes out when the job is marked done. If a payment is late, a reminder draft waits for your OK.
  • Bookings and reminders

    By hand today
    Emails go back and forth to find a time, and some customers forget to come.
    Automated
    Customers pick a free time themselves and get a reminder the day before.
  • The weekly report

    By hand today
    Every Monday someone copies numbers from several programs into one spreadsheet.
    Automated
    The numbers update on their own every day, and the report is ready by Monday morning.
  • Follow-ups

    By hand today
    A quote goes out, the customer goes quiet, and nobody gets back in touch.
    Automated
    When a customer has not replied in a few days, the right person gets a reminder with a message ready to send.

You stay in charge. Where it matters, the software waits for your approval, and every step is written down, so you can check later what happened.

build_protocol

How a build goes.

We move from workflow understanding to a written scope, a tested build, and an operating model your team can actually own.

  1. Phase 01 · audit

    Audit + map

    We sit with the people who own the work, map the handoffs and constraints, and identify where time, money, or context is being lost.

  2. Phase 02 · scope

    Spec the loops

    Choose the first priority together. Its scope names the trigger, policy, systems, failure modes, owner, acceptance checks, and the measure that matters.

  3. Phase 03 · build

    Build + harden

    We build with the appropriate platform, API, or custom code, test with representative data, and add monitoring, retries, approvals, and rollback before release.

  4. Phase 04 · ongoing

    Watch + extend

    After launch, we review what ran, what needs attention, and what the next priority should be. We can stay involved or hand over the runbook and ownership.

open_partnership

How we start. What unlocks.

We open with a free audit call, understand the current operation, and write down the first sensible technical priority. If the work is not a fit, we say so. If it is, the scope and ownership are clear before implementation.

audit :: cooperation_init
  1. ( 01 )

    You drop a note

    Email, form, DM. Tell us what's bleeding hours. No NDA dance, no intake form with 14 fields.

    context · before the call
  2. ( 02 )

    Live stack audit

    Karl leads the 30-minute audit. We walk through the tools, handoffs, constraints, and the people who own the process.

    30 min · live mapping
  3. ( 03 )

    Scope + decision

    We write the trigger, flow, failure modes, owner, acceptance checks, and measurement plan. You decide whether the next step is worth building.

    in writing · reviewed together
  4. ( 04 )

    Build → verify

    If the scope is right, we build against the agreed checks, review the evidence, and launch with a clear owner and runbook.

    milestones · agreed together
once_inside :: possible_paths
first priority

Starter loop

One audited workflow, scoped clearly, with the smallest useful system and the evidence needed to decide what comes next.

tier_01.lite
backbone

Ops infrastructure

Multiple systems wired across CRM, inbox, billing, calendar, or communications, with monitoring and operating ownership defined.

tier_01.full
+agents

Browser agents

Browser agents for tools without APIs, with explicit permissions, checkpoints, logs, and a documented fallback path.

+browser_agents
+frontend

Control panel

Branded controls for teams that need approvals, visibility, trigger/pause actions, replay, and an audit trail.

tier_02
embedded

One month, in your slack

We work alongside the people who run the process, document the system, and transfer the operating context as ownership changes.

embed.month
retainer

Quarterly extend

Review the next priority when the operation is ready. We can stay as managing technical partner or hand over the system and runbook.

retainer.q
initiate

It starts
with the audit call.

Book the 30-minute audit. We map the operation live, identify the first workflow worth investigating, and define the next technical priority. Here’s what the conversation is designed to clarify:

what you get when you bookvalue
( 01 )

Live stack map

We map the tools, handoffs, constraints, and people involved, so the current operation is clear before anyone recommends a build.

( 02 )

First priority, clearly framed

A specific workflow with its trigger, systems, failure modes, owner, acceptance checks, and the measure that will tell us whether it is helping.

( 03 )

Written scope for the next decision

If a build is the right next step, the scope names deliverables, acceptance criteria, integrations, ownership, and review points before implementation begins.

( 04 )

Loom recap for your team

A 5-minute video you can send your founder, CFO, or ops lead. They see the case before you have to pitch it.

Audit outcomeclear next step
First call30 minutes
Operating model

Before implementation, we agree the workflow, integrations, acceptance checks, monitoring, rollback path, owner, and review points. Releases are tested against representative data and approved milestones. The operating model and handover are written down so your team knows what happens when the system needs attention.

Why the audit comes first

The audit is the right starting point because the workflow should decide the build, not a preset package.

Book your free 30-min audit call

P.S., If we’re not the right fit, we’ll say so and leave you with a clearer picture of the problem.

AI Automation · FAQ

Six useful questions before we start mapping your workflows.

The audit clarifies the workflow, system boundary, failure path, measurement, and ownership before any automation is proposed.

What happens in the audit?

We map the workflow, systems, handoffs, constraints, and people who own the process. Then we identify the first priority worth investigating and explain what a build would need.

How do you choose the automation tool?

We choose around the workflow, permissions, hosting, failure handling, and the team that will operate it. Make, n8n, native APIs, browser automation, or custom code may all be appropriate in different parts of the same system.

How do we measure whether it is helping?

We agree the useful signal before build: time returned, fewer manual handoffs, routing accuracy, processing quality, faster response, or another business measure. The baseline, owner, and review cadence are part of the scope.

What happens when the automation breaks?

We design monitoring, logs, alerts, retries, approvals, and a rollback path around the workflow. The operating runbook explains what the team handles, what Kratt handles, and how incidents are reviewed.

What access and data do you need?

Access is scoped to the workflow: relevant systems, sample records, permissions, policies, and the people who can verify the result. We agree data boundaries and human review before connecting anything.

Who runs the system after launch?

You choose the operating model. We can remain the managing technical partner for monitoring and improvements, or hand over the code, access, documentation, and runbook to your team.

kratt

kratt takes AI in companies from an initial idea to a reliable system. Based on the audit, we define where AI pays off and start development where the return is highest.

Book the free audit call
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