AI and automation · Specialism 02 of 04

Workflow Automation

Automate the repetitive work that eats your team's week.

We automate the repetitive, rule-based work that quietly eats your team's week, connecting the systems involved and adding AI where it genuinely helps, with the safeguards to run it unattended.

Related
AI integration, Chatbots and agents, Predictive analytics
Cadence
Two-week shipping rhythm
Team
Expert engineers and designers
Source code
Yours from commit one

Trusted by city corporations, retailers and founders across the Gulf, Europe, Bangladesh and beyond.

Verified onClutch
Al Tawash Al Maliky TailoringThe Flutter WayDhaka North City CorporationAl Ataar Al Maliky TailoringNaqsha Mens TailoringSpecial TailoringDhaka South City CorporationAl Ataar Golden Tailoring & Trading974 TailoringTelehawks SolutionsAlgonize
A deeper look

Everything to know about workflow automation.

Algoramming builds workflow automation for operations and business teams across the UAE, Qatar, Saudi Arabia, the US, the UK, and Australia. We automate the repetitive, rule-based work that drains your team, connecting systems and adding AI where it helps, with the logging and error handling that make an automation trustworthy enough to leave running.

Written for the people buying the product and for the people who will run it after launch.

01

Workflow automation for the work, not the judgement

The best automation targets are the tasks that are repetitive, rule-based, and dull: moving data between systems, generating routine documents, chasing standard follow-ups. We map where your team spends time on exactly that kind of work and automate it, keeping a human in the loop for the steps that need judgement. The aim is not to replace people; it is to stop wasting them on work software should have been doing all along.

02

Trustworthy enough to leave running

An automation you cannot trust is worse than none, because it fails quietly and someone has to check it anyway. We build in logging, sensible error handling, and alerts, so when something does go wrong you know immediately and can see exactly what happened. Where AI is part of a step, it sits behind checks appropriate to the risk. The result is automation you can actually leave alone, which is the only kind that saves real time.

Outcomes

Outcomes, not deliverables.

Success is measured in shipped value you can use, in two-week increments.

Two-week shipping rhythm
  1. 01

    Hours of manual, repetitive work removed every week

  2. 02

    Fewer human errors in routine, rule-based steps

  3. 03

    Systems that pass data automatically instead of by copy-paste

  4. 04

    Automations you can trust to run without babysitting

What we deliver

Concrete artifacts, not slide decks.

Everything lands in your repositories, your cloud and your control.

  • Automated workflows across your existing tools
  • Rule-based and, where useful, AI-assisted steps
  • Logging, error handling, and human-in-the-loop checks
  • A dashboard to monitor and control the automations
Process

The same expert team, the same playbook.

The first release is scoped to the smallest version that proves its worth. Everything after that is a measured increment.

01Phase 01 · 1 to 2 weeks

Discover

We pin down the use case, the data available, and the cost of getting an answer wrong before building anything.

02Phase 02 · 1 to 2 weeks

Design

We design the retrieval, prompts, guardrails, and the human-in-the-loop points that match the risk.

03Phase 03 · two-week sprints

Build

We integrate the feature or automation into your product and stand up an evaluation harness alongside it.

04Phase 04 · 1 week

Launch

We ship behind flags, watch quality, cost, and latency on real traffic, and tune before widening.

05Phase 05 · ongoing

Support

We monitor accuracy as the world drifts, retrain or re-prompt as needed, and keep the guardrails honest.

Selected work

Software we are proud to put our name on.

Sparrow: A Serverless, Peer-to-Peer Photo and Video Sharing App
Photography · Social · Consumer App · Privacy · Real-time Communication · WebRTC · Mobile · 2026

Sparrow: A Serverless, Peer-to-Peer Photo and Video Sharing App

Sparrow is a serverless, peer-to-peer photo and video sharing app built by Algoramming. Your phone becomes a live host and the people you invite connect directly, so photos and videos stream device to device over encrypted WebRTC, never uploaded, never stored in the cloud.

0 Files uploaded to a server1,000+ Photos per sessionAndroid & iOS Platforms
Read the case study
From Storefront to Doorstep: How Algonize Gives Multi-Branch Businesses One Real-Time Command Center
Retail · E-commerce · Restaurants · Food Service · SME · SaaS · ERP · CRM · Delivery · 2026

From Storefront to Doorstep: How Algonize Gives Multi-Branch Businesses One Real-Time Command Center

Algonize is the cloud ERP, CRM and POS platform built in Dhaka for multi-branch retail shops, restaurants and delivery businesses. This case study shows how one real-time dashboard unifies sales, inventory, riders, loyalty and accounting across Android, iOS, macOS and the web.

3 Client apps6 Platforms8 Payment methods
Read the case study
From clients

Hear it from the people who run the software.

“We’re happy with the DSCC Waste Management System developed by their team. It has made our daily operations, data tracking, and reporting much easier to manage. The team was professional throughout the project, and their ongoing support has been really helpful whenever we needed assistance. Overall, a great experience working with them.”
Md. Sufi Ullah Siddik BhuiyanProject Director, Matuail Sanitary Landfill Development & Extension Project, DSCC
“We’ve been using their DNCC Vehicle Equipment Management System for almost a year, and it has made managing our equipment and stock records much easier. The team is professional, friendly, and always helpful whenever we need support. Overall, it’s been a really good experience working with them.”
Abul Hasnat Md. Ashraful AlamChief Executive Engineer, DNCC
“I've been using this CRM software for the last 2 years and it has truly transformed how we handle our operations. This software is a game-changer in terms of efficiency and functionality. A top-notch software solution that has exceeded our expectations. Really appreciate themselves. The after-service of their product is just outstanding.”
Iftekhar Hossain MunnaFounder, Al Tawash Al Maliky Tailoring
Why teams stay with us

A partner you can trust with the whole thing.

No sales layer, no junior swap-ins, no surprise invoices. This is what every client gets, in writing, before work starts.

01

Experienced people on the work

The engineer who scopes your project reviews every line that ships. Nobody is swapped out for a junior after the kickoff.

02

Costed before we build

A one-to-two-week discovery ends in an itemised plan. After that, two-week sprints, each with a recorded demo and a changelog you can forward to your board.

03

You own everything

Source code, infrastructure, domains and secrets live in your accounts from day one. A walk-away clause is written into every contract.

04

We stay after launch

Monitoring, incident response and small improvements, with a named human who answers. Urgent tickets under a maintenance contract are handled around the clock.

Ways to work together

Three shapes, one playbook.

Every engagement starts with a short discovery that ends in a costed, itemised plan. No rate-card surprises, no minimum-month lock-in.

Fixed scope · Fixed price

Project

Discovery through launch and handover, for one agreed price and date.

Best when the brief is clear and the deadline is firm.

Monthly · Fixed expert allocation

Retainer

A rolling backlog we re-rank together, with the same experienced people every month.

Best when priorities change faster than annual planning.

Per engineer · Monthly

Embedded

Our engineers join your Slack, repos and sprint board as part of your team.

Best when your in-house engineers need expert support.

Stack and toolkit

Pragmatic tools. Expert judgement.

Well-supported tools your future hires already know, chosen for the years of maintenance after launch.

Models
OpenAIAnthropicOpen-weight modelsEmbeddings
Application
PythonTypeScriptLangChainFastAPI
Data and retrieval
PostgreSQLpgvectorRedisPipelines
Quality and delivery
Evaluation setsGuardrailsDockerObservability
Industries we ship for
FintechSaaSE-commerceRetail and POSPublic sectorCRMERPEdTechHealthcareLogisticsReal estateMedia
FAQ

Things teams ask before signing.

Something else on your mind? Email us and a lead engineer answers within one business day.

No-code tools or custom code, which is right for us?

Whichever fits. Off-the-shelf automation platforms are great for standard connections and quick to stand up; custom code earns its place when the logic is complex, the volume is high, or a per-task fee would add up. We often combine the two.

How much time does workflow automation typically save?

It depends on how repetitive and how frequent the work is, but automating a daily manual process often returns hours a week per person, plus the errors it prevents. We measure the current effort during scoping, so the saving is estimated from your real numbers, not a claim.

Where does AI fit into an automated workflow?

In the steps that need understanding rather than rules, reading a document, classifying a request, drafting a reply, always behind checks matched to how costly a mistake would be.

How do we know an automation is working?

Every workflow is logged and monitored, with a dashboard showing what ran, what succeeded, and what needs attention, so it is visible rather than a black box.

Do we own the source code?

Yes. Source, infrastructure configuration and documentation are pushed to your repositories from day one, and the cloud accounts stay in your name. If we part ways, you keep everything and nothing stops working.

How do you price a project?

On scope. A one-to-two-week discovery produces an itemised estimate for a defined first release, so you see the full cost before committing to the build.

How long does a first version take?

A focused v1 usually takes three to six months, shipped in two-week increments you can test as they land. A clickable prototype typically exists within fourteen days of the brief.

Can you work in our timezone?

Yes. Our team works on GMT+6, with at least six hours of daily overlap with the Gulf, Europe, the UK, the US and Australia, and demos are recorded for anyone who missed the call.

What happens after launch?

We keep watching the metrics, respond to incidents and ship small improvements under a maintenance agreement, for as long as you want us. Runbooks and monitoring are in place from day one, so nothing depends on memory.

Explore the rest of AI and automation

The discipline, and its other specialisms.

Go deeper on workflow automation
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Claude Haiku 5.5 vs GPT-6 Luna

We compare Claude Haiku 5.5 vs GPT-6 Luna, analyzing their pricing curves, tokenizer taxes, and agentic benchmarks. Learn how to optimize your cloud costs.

ClaudeOpenAIAI agents
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Next move

Send the brief. We will take it from there.

Reply within one business day, NDA on request, and a free 30-minute discovery call before anything is priced.

ReplyWithin 1 business day
DiscoveryFree 30-min call
EngagementFixed scope or retainer
Overlap6+ hours, any region

support@algoramming.com · GMT+6