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Automation that clears repetitive work
and knows when to ask.

AI workflow automation services for the repetitive work that eats your team's week: intake, sorting, data entry and reporting. A person checks every step that needs judgement. It is built into the tools you already run, and every action is logged.

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

Brands our teams have delivered for

  • Hello Peter
  • Gruber Logistics
  • Delhivery
  • Thomson Reuters
  • Qatar Airways
  • Grundfos
  • Save
  • BERD
  • Yale University
  • Kuwait Police
  • Dubai Police
  • Panasonic
  • Infosys
  • Kia
  • Hitachi
  • Orange Business Services
What we do

PixelCrayons automates repetitive work (intake, sorting, data entry, reporting) inside the tools you already use. A person checks every step that needs judgement, and every action is logged. Each automation is tested against your starting numbers before it runs alone. The first pilot runs on one real queue. We work direct for brands and white-label for agencies.

  1. The right queue, chosen on evidenceDiscovery maps where your team's hours go and picks the first workflow by volume, rules and effort.
  2. A person checks the judgement callsThe automation stops and asks wherever judgement matters, and a person approves, edits or rejects.
  3. Built into your existing toolsAutomations connected to the helpdesk, CRM, ERP, spreadsheets and inboxes your team already uses.
Our work

See what we've built
and the results it brought.

Real projects for real clients, with results we can show.

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
Clutch rating 4.9 / 5, checked 15 September 2026Read our GoodFirms reviews
Google Partner
Shopify Partner
ISO/IEC 27001 certification seal (QRO), held by the Vinove groupISO 9001:2015 certification seal (QRO), held by the Vinove groupCMMI Level 3, held by the Vinove group
Technologies we work with
Commerce and web
  • Shopify
  • WooCommerce
  • Magento
  • WordPress
  • Webflow
  • Next.js
Marketing
  • Google Ads
  • Meta Ads
  • GA4
  • Klaviyo
Cloud
  • AWS
  • Microsoft Azure
  • Google Cloud
AI models
  • OpenAI
  • Anthropic
  • Google Gemini
Build and deploy
  • Docker
  • Kubernetes
  • Terraform
  • GitHub Actions
CRM and automation
  • HubSpot
  • Salesforce
  • Zapier
  • n8n

Product names and marks are trademarks of their owners. Naming a technology means our teams build with it. It does not mean a partnership, certification or endorsement.

  • Reply within four business hours (typical)
  • Humans in the loop where judgement matters
  • Your tools: nothing to replace
  • Every automated action logged
  • Measured against your own starting numbers
  • Clear IP & Ownership Terms
In every build

What an automation build
actually includes.

01

The right queue, chosen on evidence

Discovery maps where your team's hours really go. Then it picks the first workflow on evidence: high volume, clear rules and painful to do by hand. Intake, sorting, data entry and reporting usually top the list. Some workflows shouldn't be automated, because they need too much judgement or happen too rarely. The discovery document says so.

First
02

A person checks the judgement calls

Some steps need judgement: approvals above a set amount, exceptions, or anything customers see that could go badly wrong. At those steps the automation stops and asks. A person approves, edits or rejects, and the system learns where the line is. The goal is your team spending its hours on decisions, not on typing.

Every build
03

Built into your existing tools

You don't replace anything. Automations connect to the helpdesk, CRM, ERP, spreadsheets and inboxes your team already uses. Nobody has to change how they work to use them. If a system has no API, we find another way to connect it. That's the skilled part of the job.

Included
04

Testing and audit logs

Before an automation runs on its own, it runs under supervision on real cases from your queue. We measure its accuracy against your own starting numbers, not a vendor's test. After launch, every action is logged: what came in, what it did and what it based that decision on. When an auditor or an angry customer asks why, you can answer.

Before launch
05

Handover & runbook

Your team gets the runbook (a written guide) and admin training, under IP and ownership terms agreed before work starts. They show how to change the limits, add a workflow, read the logs and switch any automation off. After launch, the usual choice is a light retainer for monitoring and the changes the first month shows up. Running it fully in-house is fine too.

At handover
The pilot

From reviewing your queue
to automation that runs on its own.

01
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.

02
Once the brief is complete

Audit and itemised proposal

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

03
Your decision

You sign off

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

04
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.

05
On the date in your proposal

Working pilot, your queue

The pilot handles real items from your queue, supervised and measured against your starting numbers. It runs on its own only where the numbers support 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.

Some engagements include Prism, our client workspace, and your proposal says whether yours does. Where it does, your AI build runs in a 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.

How one run works

Running on its own still means
a person can step in.

Any automation looks good on the cases it was built for. What matters is what it does with the cases it wasn't built for. That decides whether you can leave it running. So we plan what happens when things go wrong first, and the normal path second.

The run
  1. 01

    Trigger

    A new item arrives, such as a form, an email, a spreadsheet row or a webhook. The run starts with a record of what started it.

    No decision here

    Nothing is decided yet. If the same item arrives twice, the record shows it, so it isn't handled twice.

  2. 02

    Read and tidy

    The details are pulled out and put in the format the next system expects.

    Field missing or unreadable

    The run pauses with the item attached and the missing field named. It does not guess a value to keep going.

  3. 03

    Classify and route

    The item is sorted and sent to the right queue, team or record.

    Not sure enough to decide

    Sent to a person, with the two likely categories shown. Every correction is recorded. That is how the limit gets adjusted on evidence instead of opinion.

  4. 04

    Act

    The change happens in your system: a record created, a status changed or a document filed. It uses an account you control.

    Above the value or risk limit you set

    Held for sign-off before the change, not after. You set the limits and can change them without a developer.

  5. 05

    Log and check

    The action, what went in, what was decided and who did it are written to a log you can search.

    The next system refuses the change

    The run is undone back to the last good state and reported. A half-finished run is the one failure that quietly damages data. So we design it out instead of just watching for it.

When it does not fit

The rule behind every step: an automation that stops and asks costs you a few minutes. One that guesses can cost you an 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.

Our other AI services

Other AI services that work with automation

A workflow that needs to read and reason over your documents connects to a knowledge system. The part customers talk to is a chatbot. Building on n8n? That has its own page.

Knowledge / RAGAI Chatbotsn8n AutomationZapier and MakeDocument automationAI Automation Agency
Who is accountable

The people responsible
for your work.

Leadership and how we’re built →
Parvessh Agarwal

Parvessh Agarwal

Founder & CEO

An entrepreneur at heart. He links business analysis, strategy, clear goals and ROI to practical technology.

LinkedIn →
Saundaraya Gupta

Saundaraya Gupta

Technical Manager

Brings technical work, client updates and project management together, so work moves smoothly from brief to launch.

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 the options on evidence: how often the task runs, how routine 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 choices behind it.

The workflowOur callWhy
High volume, clear rules, painful by hand: intake, sorting, data entry, reportingAutomate it firstAutomate the dull, predictable work first. Build trust with the logs, then take on more.
Full of judgement calls or office politicsNot a first pickIt is the wrong place to start, whatever its volume.
Too little volume to justify a buildLeave it manualThe discovery document says so rather than selling the build.
Has a step where an error is expensive: approvals above a set amount, anything customers seeAutomate around it, with a person before that stepThe automation stops and asks before the expensive step, at limits you set.
Runs through an older system with no APIStill worth consideringWe find another way in: exports, reading emails, whatever is reliable.
Only workable after a platform changeA separate recommendation, with the trade-offs in writingAutomation works with the tools you have now. We never slip a platform move into the job.

The pilot is then judged against the starting numbers taken in discovery, never a vendor's test.

Questions

Frequently
asked.

The ones with high volume, clear rules and painful manual work. That usually means intake, sorting, data entry and reporting. Discovery ranks them on evidence: how often the task runs, how routine 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 work: the retyping, routing, chasing and formatting. It can't replace judgement, so a person checks every step where a decision matters. Your people stop moving items along and start checking quality instead. We won't attach an invented percentage to it.

It will, now and then, so we design it so errors are easy to see and fix. A person checks before any expensive step. The automation runs under supervision on real cases until its measured accuracy shows it can run alone. Every action is logged, so a mistake can be traced and corrected. Every automation has an off switch your team controls.

No, and that is part of the brief. Automations connect to the helpdesk, CRM, ERP, spreadsheets and inboxes your team already runs. Most automation projects fail when people have to change their habits. Where an older system has no API, we use another reliable way in, such as exports or reading emails.

The first workflow starts at $500 to build and $100 a month for monitoring. That covers 1 trigger, up to 10 steps, 2 connected apps and up to 5,000 runs a month, with 1 hour of fixes. Each further workflow starts at $300. Platform licences such as n8n Cloud, Zapier or Make are yours or billed at cost. Larger workflows are quoted from the connections, checkpoints and logging they need.

Against your own numbers, taken before we start, never a vendor's test. In discovery we record how many items arrive, how long they wait, how long each takes and how often errors appear. Then we judge the pilot on the same measures. The report shows the changes plainly, including any step where the automation is slower or less accurate.

Ask how it picks the first workflow, where people stay in the loop and what it measures against. Our answers: discovery ranks the options on evidence, a person checks before any expensive step, and results are judged against your own starting numbers. 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 task from your own work. More tasks are priced one by one once the first has proved itself. Most teams keep a monthly retainer for monitoring.

  • ProjectAutomation sprint$500–$7,500fixed quote, one-time
  • Per unitAdditional workflow$300–$2,500per workflow
  • RetainerMonthly monitoring retainer$100–$1,875per month
  • RetainerAutomation partner retainer$1,000–$5,000per 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 $ →
Further reading

Practitioner notes
on this work.

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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 ProposalGet a Free AI Automation Review

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

Rankings on this topic

Scored on public evidence by the PixelCrayons Index. PixelCrayons is scored like every firm: ranked where it has a case study, listed where it has not.

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