Automation that clears the queue
and knows when to ask.

AI workflow automation services for the repetitive work eating your team's week (intake, triage, data entry, reporting), with a human checkpoint wherever judgement matters. Built into the tools you already run, every action logged.

Get a Proposal See Pricing

Reply within four business hours (typical) · Humans in the loop

Brands our teams have delivered for

What we do

PixelCrayons automates repetitive workflows (intake, triage, data entry, reporting) inside the tools you already use. Human-in-the-loop checkpoints sit wherever judgement matters, every action is logged for audit, and each automation is evaluated against your own baseline before it runs unattended. The first working pilot runs on one real queue. We work direct for brands and white-label for agencies.

The right queue, chosen on evidenceDiscovery maps where your team's hours go and picks the first workflow on volume, rules and pain.
Human-in-the-loop, by designThe automation stops and asks wherever judgement matters, and a person approves, edits or rejects.
Built into your existing toolsAutomations wired into the helpdesk, CRM, ERP, spreadsheets and inboxes your team already uses.

Related work · Healthcare · US

Multi-location healthcare: delivery unblocked.

Read the case study

Selected work

Judge the work,
not the adjectives.

Outcomes tied to real engagements, not averages.

All case studies →

2004

Established

500+

Agencies served

4,500+

Projects delivered

340%

Revenue growth · 7 months

eCommerce

+127%

Organic traffic · 5 months

SaaS

85%

Faster delivery · backlog cleared

via agency partner

Checked 15 September 2026

Where the work happens

Reply within four business hours (typical)
Humans in the loop where judgement matters
Your tools: no rip-and-replace
Every automated action logged
Measured against your baseline, not a benchmark
Clear IP & Ownership Terms
Reply within four business hours (typical)
Humans in the loop where judgement matters
Your tools: no rip-and-replace
Every automated action logged
Measured against your baseline, not a benchmark
Clear IP & Ownership Terms

In every build

What an automation build
actually includes.

The right queue, chosen on evidence

Discovery maps where your team's hours actually go and picks the first workflow on evidence: high volume, clear rules, painful to do by hand. Intake, triage, data entry and reporting usually top the list. If a workflow shouldn't be automated (too much judgement, too little volume), the discovery document says so.

First

Human-in-the-loop, by design

Wherever a step involves judgement (approvals above a threshold, exceptions, anything customer-facing that could go wrong expensively), the automation stops and asks. A person approves, edits or rejects, and the system learns the boundary. The goal is your team spending its hours on decisions, not on typing.

Every build

Built into your existing tools

No rip-and-replace. Automations wire into the helpdesk, CRM, ERP, spreadsheets and inboxes your team already lives in, so adoption never depends on anyone changing how they work. If a system has no API, we find the seam. That's the craft part of the job.

Included

Evaluation & audit logs

Before an automation runs unattended, it runs supervised against real cases from your queue. Its accuracy is then measured against your own baseline, not a vendor benchmark. After launch, every action it takes is logged: what came in, what it did, what it grounded that decision in. When an auditor or an angry customer asks why, you can answer.

Before launch

Handover & runbook

Your team gets the runbook and admin training, under IP and ownership terms agreed before work starts: how to adjust thresholds, add a workflow to the queue, read the logs and switch any automation off. A light retainer is the usual shape after launch, for monitoring and the changes the first month teaches. Running it entirely in-house is fine too.

At handover

The pilot

From queue audit
to unattended runs.

Start

Brief and a call

We sign an NDA and talk through your queues, the systems they touch and which steps must always stay human.

Once the brief is complete

Audit and itemised proposal

We audit the queue, pick the first workflow on evidence and confirm the date your proposal arrives: the systems it touches, the human checkpoints and a demo date.

Your decision

You sign off

You confirm the scope, the payment and the access we need. Nothing starts before this.

Typically 2 to 3 business days later

The work starts

We build the pilot into your existing tools, with the human checkpoints and audit logging agreed in the proposal.

On the date in your proposal

Working pilot, your queue

The pilot processes real items from your queue, supervised and measured against the baseline. It runs unattended only where the numbers earn it, then your team gets the runbook.

Inside Prism

Your engagement, week to week,
in one workspace.

Prism is the client workspace where your requests, approvals, tasks and weekly reviews live.

Where the engagement includes it, your AI build runs in a Prism workspace you log into: requests, approvals, the task list and the weekly review, with each decision and its expected result written down.

See how Prism runs an engagement

01
Requests and approvals
One queue, one owner, one due date.
02
Weekly review
Each decision recorded with its expected result.
03
Actions checked against outcome
What we did and what happened, side by side.

Anatomy of one run

Unattended is not
the same as unsupervised.

Any automation looks good on the cases it was built for. What decides whether you can leave it running is what it does with the ones it was not. So we design the exits first and the happy path second.

The run

01
Trigger
A new item arrives (a form, an email, a row, a webhook), and the run starts with a record of what started it.
No decision here
Nothing is decided yet. A trigger that fires twice is de-duplicated on the record, not on a guess.
02
Read and normalise
Fields are extracted and mapped to the shape the downstream system expects.
Field missing or unreadable
The run parks with the item attached and the specific field named. It does not infer a value to keep moving.
03
Classify and route
The item is categorised and sent to the right queue, team or record.
Confidence below the agreed line
Routed to a human with the two candidate categories shown. Every override is captured, which is how the threshold gets tuned with evidence rather than opinion.
04
Act
The write happens (a record created, a status changed, a document filed) inside your system, under a service account you control.
Above the value or risk threshold you set
Held for sign-off before the write, not after. Thresholds are yours to set and change without a developer.
05
Log and reconcile
The action, its inputs, its decision and its actor are written to an audit trail you can query.
Downstream system rejects the write
The run rolls back to the last clean state and raises it. A half-finished run is the one failure mode that quietly corrupts data, so it is designed out rather than monitored for.

When it does not fit

The rule the whole lane is built around: an automation that stops and asks costs you a few minutes. One that guesses costs you the audit.

Illustrative run: a generic approval workflow, not client configuration

How we report it, in Prism

The queue baseline,
measured before anything is automated.

What you receive in month one

Automation is reported against the queue it replaces. In the first month you receive the process map with every manual step, its owner and its handoffs, the queue baseline recording volume, wait time and error rate as they stand today, and the exception list naming the cases that will stay with a person. Each workflow ships with its run log and its rollback path.

01Process map: each step, its owner, and the handoffs between them
02Queue baseline: volume, wait time and error rate before automation
03Exception list: the cases that stay manual, and who handles them
04Run log: each execution, its outcome, and the failures retried or escalated
05Rollback path: how the manual process resumes if a workflow is paused

Related workMulti-location healthcare: delivery unblocked.Healthcare · US · A different discipline, so it is linked here rather than presented as proof of this one.

The rest of the AI bench

Automation is one door in.

A workflow that needs to reason over your documents connects to a knowledge system. The customer-facing end of the same pipeline is a chatbot. Building on n8n specifically? That has its own page.

Knowledge / RAG AI Chatbots n8n Automation

Who is accountable

The people accountable
for the work.

Leadership and how we’re built →

Parvessh Agarwal

Founder & CEO

An entrepreneur at heart who connects business analysis, strategy, clear objectives and ROI with practical technology solutions.

LinkedIn →

Saundaraya Gupta

Technical Manager

Brings technical delivery, client communication and project management together so work moves from brief to release smoothly.

LinkedIn →

Every engagement

A named coordinator and escalation contact

Know who coordinates your engagement, who owns the work and how to escalate an issue.

All engagements. Roles may be combined and vary with your engagement.

Full terms →

Before you sign

Our commitments

Each one says where it applies and links to its full terms.

Response and start times

We typically respond within four business hours. Eligible engagements can typically start within two to three business days after scope, payment and required access are confirmed.

Business hours are Monday to Friday, 9:00 am to 6:00 pm IST, excluding published company holidays. Typical expectations, not guaranteed service levels.

Full terms

Clear IP & Ownership Terms

Your materials remain yours. Bespoke deliverable rights, licences and handover are agreed before work starts.

All engagements.

Full terms

Clear Delivery & Escalation Ownership

Know who coordinates your engagement, who owns the work and how to escalate an issue.

All engagements. Roles may be combined and vary with your engagement.

Full terms

How we handle claims, credentials and your data: group credentials, dated ratings, how case figures are signed off, client permissions and data handling.

Choosing the first workflow

Which queue to automate first,
and which to leave alone.

Discovery ranks candidates on evidence: how often the task runs, how mechanical it is, and what an error costs. The document ends with a ranked list and names what should not be automated at all. These are the calls behind it.

The workflow	Our call	Why
High volume, clear rules, painful by hand: intake, triage, data entry, reporting	Automate it first	Automate the boring certainty first, earn trust with the logs, then climb.
Soaked in judgement or politics	Not a first pick	It is the wrong place to start, whatever its volume.
Too little volume to justify a build	Leave it manual	The discovery document says so rather than selling the build.
Has a step where an error is expensive: approvals above a threshold, anything customer-facing	Automate around it, with a person ahead of that step	The automation stops and asks before the expensive step, at thresholds you set.
Runs through a legacy system with no API	Still a candidate	We find another seam: exports, mail parsing, whatever is reliable.
Only workable after a platform change	A separate recommendation, with the trade-offs in writing	Automation meets your stack where it is. A migration is never smuggled in.

The pilot is then judged against the baseline taken in discovery, never a vendor benchmark.

Questions

Frequently
asked.

The ones where volume is high, the rules are clear and doing it by hand is painful, which usually means intake, triage, data entry and reporting. Discovery ranks candidates on evidence: how often the task runs, how mechanical it is and what an error costs. It ends with a ranked list and names what shouldn't be automated.

No. Automation removes the repetitive layer, the retyping, routing, chasing and formatting, but it can't replace judgement, so we build human checkpoints into every workflow where a decision matters. People stop being the conveyor belt and become the quality control, and we won't attach an invented percentage to it.

It will, occasionally, so the design makes errors visible and recoverable. Human checkpoints sit ahead of any expensive step, and the automation runs supervised against real cases until its measured accuracy earns unattended running. Every action is logged so a mistake can be traced and corrected, and every automation has an off switch your team controls.

No: that constraint is the brief. Automations integrate with the helpdesk, CRM, ERP, spreadsheets and inboxes your team already runs, because most automation projects die when people have to change their habits. Where a legacy system has no API, we use another reliable seam, such as exports or mail parsing.

Less than a transformation programme, because we don't sell one. Every engagement opens with a scoped pilot on one workflow in your own queue, and the proposal itemises the integrations, checkpoints, logging and handover. Further workflows are priced one at a time, only after the first has proved itself against your baseline.

Against your own numbers, taken before we start, never a vendor benchmark. In discovery we baseline how many items arrive, how long they wait, how long each takes and how often errors surface, then judge the pilot on the same measures. The report shows the deltas plainly, including any step where the automation is slower or less accurate.

Ask how it picks the first workflow, where humans stay in the loop, and what it measures against. Our answers: discovery ranks candidates on evidence, checkpoints sit ahead of any expensive step, and results are judged against your own baseline. Ask who owns the code at the end. With us, your team does, along with the runbook.

The range

What it costs,
at the direct rate.

Priced as a sprint on one workflow from your own queue, further workflows per unit once the first has proved itself, and a monthly retainer for the monitoring most teams keep.

ProjectAutomation sprint$750–$6Kfixed quote, one-time
Per unitAdditional workflow$300–$2Kper workflow
RetainerMonthly monitoring retainer$200–$1.5Kper month

Indicative: every figure is refined into an itemised proposal.INR figures shown excl. GST.

PricingSee indicative pricing for this serviceDirect and wholesale, in ₹ and $ →

Practitioner notes
on this work.

All articles

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What digital marketing automation can realistically do for a business, whether it suits yours, how to get started, and where it still needs a human running it.

29 August 2026 · 5 min read

AI agent vs automation vs a chatbot: the questions we ask before building an agent

A chatbot answers, an automation follows a path drawn in advance, and an agent chooses its own next step.

Give us your most
repetitive queue.

Scope a pilot: one workflow, your own queue, a working deliverable with human checkpoints, audit logs, and results measured against your baseline rather than a brochure.

Get a Proposal White-label AI for agencies

Reply within four business hours (typical) · NDA standard · Clear IP & Ownership Terms

Last updated 13 October 2026

Automation that clears the queueand knows when to ask.

Judge the work,not the adjectives.

What an automation buildactually includes.

The right queue, chosen on evidence

Human-in-the-loop, by design

Built into your existing tools

Evaluation & audit logs

Handover & runbook

From queue auditto unattended runs.

Brief and a call

Audit and itemised proposal

You sign off

The work starts

Working pilot, your queue

Your engagement, week to week,in one workspace.

Requests and approvals

Weekly review

Actions checked against outcome

Unattended is notthe same as unsupervised.

Trigger

Read and normalise

Classify and route

Act

Log and reconcile

The queue baseline,measured before anything is automated.

Automation is one door in.

The people accountablefor the work.

Parvessh Agarwal

Saundaraya Gupta

A named coordinator and escalation contact

Our commitments

Response and start times

Clear IP & Ownership Terms

Clear Delivery & Escalation Ownership

How do we know the work will be good?

Who owns the ad accounts, the data and the work?

What if we want to stop?

How will we know what you are doing?

Which queue to automate first,and which to leave alone.

Frequentlyasked.

What it costs,at the direct rate.

Practitioner noteson this work.

Why governed delivery says no to some AI automation, and where the approval step goes

Marketing automation: what to connect first, and what to keep in human hands

AI agent vs automation vs a chatbot: the questions we ask before building an agent

Give us your mostrepetitive queue.

Automation that clears the queue
and knows when to ask.

Judge the work,
not the adjectives.

What an automation build
actually includes.

From queue audit
to unattended runs.

Your engagement, week to week,
in one workspace.

Unattended is not
the same as unsupervised.

The queue baseline,
measured before anything is automated.

The people accountable
for the work.

Which queue to automate first,
and which to leave alone.

Frequently
asked.

What it costs,
at the direct rate.

Practitioner notes
on this work.

Give us your most
repetitive queue.