Skip to main content
AI strategyProduct engineeringAgentic operationsResponsible deploymentGlobal deliveryAI strategyProduct engineeringAgentic operationsResponsible deploymentGlobal deliveryAI strategyProduct engineeringAgentic operationsResponsible deploymentGlobal delivery
AIoverflow.tech
AI engineering & business software

AI that works.Software thatconnects it.

We build AI products, automate workflows and connect business systems, from discovery and design to deployment and ongoing support. Privacy, security and AI governance are part of our approach.

Work with us What we do
Build
AI products and business software
Connect
Documents, data and existing tools
Operate
Quality, recovery and improvement
01What we do

Practical AI, from one workflow to a complete operation.

We find work worth improving, connect AI to the tools already in use, and build a controlled system that your team can understand.

01

Discovery & solution design

Turn an operational problem into a buildable plan.

We map the people, data, systems and exceptions behind a workflow. We compare AI, conventional software and simpler process changes, then define the architecture, acceptance criteria and first useful release.

Explore this service
Workflow discoveryTechnical feasibilityProduct requirements
02

AI agents & workflow automation

Connect useful AI actions to the work your team already does.

We build assistants and multi-step workflows around approved tools, clear permissions and recoverable state. They can classify requests, prepare records, draft responses and coordinate tasks, with human decisions at consequential steps.

Explore this service
Inbox and task triageTool-using assistantsApproval workflows
03

Document AI & e-invoice workflows

Move from documents to structured, reviewable business data.

We combine OCR, language and vision models with deterministic checks for classification, splitting, multilingual extraction, complex tables and master-data matching. Document intake, generated PDFs, JSON/XML exchange and export validation belong in the same workflow.

Explore this service
OCR and complex tablesVendor matchingInvoice data validation
05

APIs, integrations & data workflows

Make your existing systems work together reliably.

We build REST and GraphQL integrations, webhooks, ingestion pipelines and data mappings. Our engineering experience includes ERP export workflows, email intake, vendor-master data, queue-based processing and the reconciliation needed when a downstream system rejects a record.

Explore this service
ERP and CRM integrationData enrichmentEvent-driven processing
06

Business operations software

Bring bookings, sales, people and finance into one working system.

We build custom operating software around the way a business actually runs: bookings, CRM, point of sale, inventory, staff attendance, commissions, payroll workflows and management reporting. Permissions and financial rules are part of the product design.

Explore this service
Booking, CRM and POSWorkforce workflowsOperational reporting
08

AI evaluation & quality engineering

Know what works before you change the model or release the code.

We design ground-truth datasets, field-aware scoring, consistency checks and cost/latency comparisons for LLM, vision and document workflows. API contracts, regression suites and realistic edge cases connect model quality to software release decisions.

Explore this service
Model benchmarksAPI regressionRelease quality gates
Tell us what you're working onExplore all capabilities →
02Automation blueprints

Real work.
Every step made clear.

See what comes in, what AI does, and where your team decides. Explore four example workflows we can design around your business.

01Customer service & revenue operations

Turn a customer request into a resolved case.

Connect the conversation to the right account and policy. Prepare the answer, get approval where needed, and keep the customer record up to date.

Starts with

An email asking to change a delivery address

Designed result

An approved reply and an updated case record

Interactive example

Sample data · no live connections

Select a step to see the work inside.

Explore the steps1 / 4
Intake agentRequest received

Customer email

Message
Can you change the delivery address for order DEMO-104?
Intent
Change delivery address
Next action
Check order and address-change policy

The original message stays attached to the case.

People stay in control. A person approves changes to customer details.

02Local LLMs & small language models

Find the right model for one focused task.

Test cloud, local and small language models on your own examples. Choose a deployment from evidence about quality, privacy and operating requirements.

Starts with

Private documents that need to be classified

Designed result

A model selection and deployment plan backed by tests

Interactive example

Sample data · no live connections

Select a step to see the work inside.

Explore the steps1 / 4
Your team + AIoverflowTest brief prepared

Evaluation brief

Task
Classify incoming documents by department
Example input
A supplier invoice with an unclear department
Expected behaviour
Route to Finance, or ask for review when uncertain

Representative and difficult examples belong in the same test set.

People stay in control. Your team sets the quality bar and approves the model.

03On-premise AI agents

Handle sensitive work inside your environment.

An internal agent checks approved records and prepares an action. Permissions, human review and execution logs remain part of the workflow.

Starts with

An internal request for access to a project folder

Designed result

A reviewed access decision with a traceable record

Interactive example

Sample data · no live connections

Select a step to see the work inside.

Explore the steps1 / 4
Internal request queueRequest received

Internal ticket

Request
Read access to the project delivery folder
Requester
An authenticated employee
Data boundary
Request and records stay in the private environment

The internal identity is linked to the original request.

People stay in control. The agent cannot grant access without an authorised reviewer.

04Document & back-office automation

Move an invoice from the inbox to a checked record.

Extract the fields, compare them with the purchase order, and surface mismatches. Your team resolves the exception before an approved record reaches the ERP.

Starts with

An emailed invoice that does not match its purchase order

Designed result

A reviewed ERP draft with the original evidence attached

Interactive example

Sample data · no live connections

Select a step to see the work inside.

Explore the steps1 / 4
Document agentInvoice captured

Invoice DEMO-208

Source
Supplier email with PDF attachment
Extracted fields
Supplier, invoice number, total and purchase order
Original
Email and document attached to the same record

A field can be checked against the document it came from.

People stay in control. A mismatch pauses the workflow. Payment is never automatic.

What would this look like in your business?

We scope the data, tools, approval rules and evaluation criteria with you. These are illustrative blueprints, not pre-connected products.

Map my workflow
03Our own products

Products shaped by practical workflows.

Our product work explores clinical documentation and retail operations. See the capabilities, development stage and collaborators behind each product.

/scribedesk
Healthcare administration · Prototype

ScribeDesk

Consultation transcripts into reviewable drafts.

A clinical-documentation product in development, combining streaming transcription, session management and AI-generated draft notes. It explores how clinicians can review structured documentation within one workflow.

/sellos
Retail · Beta

Sell OS

Billing and stock workflows for pharmacy teams.

A collaborative pharmacy POS product in beta, connecting billing, product batches, inventory, order history and GST-oriented exports in a web interface.

04Custom solutions

Selected work. Specific engineering.

Client systems, product development and internal tools. Each example is labelled by its delivery stage so you can assess the work in context.

Business operations · In operation
Service business, Dubai

Qasr Alshar

A public booking experience connected to an operating platform for sales, stock, people and finance.

The work extends beyond the website into customer records, bookings, POS, inventory, attendance, commissions, payroll workflows and management reporting. A guarded natural-language assistant supports read-only questions over operational data. Role checks, financial invariants, restore testing and client feedback shape the implementation.

  • Connected booking, billing, inventory and workforce workflows
  • Management reports that distinguish costs, payments and funding
  • Read-only AI data assistant with validation and bounded queries
  • Released web and ERP improvements, with documented recovery checks

Engineering and delivery led by Chethan, working with Jacqueline on business context and client collaboration.

Visit site
Maritime · Implemented platform
Maritime document workflows

AuditVault

A vessel and project document platform with scoped access and a tracked audit lifecycle.

The implementation connects vessel and client records, five audit types, an eight-stage project lifecycle, object storage, report sharing and audit events. Per-vessel permissions control which client users can see each document. This is workflow and document software; AI analysis is not part of its first version.

  • Vessel-scoped document access
  • Tracked project stages and audit events
  • Client report and feedback workflows
Maritime · Prototype
Inspection and reporting workflows

MarinePulse

Structured inspection checklists, explainable scoring and report generation for maritime teams.

A full-stack inspection prototype translates domain feedback into vessel records, inspection requests, a 121-item template, deficiency handling, scoring and generated reports. An assistant can use operational tools to help navigate the workflow.

  • Inspection checklists and documented scoring rules
  • Deficiency tracking and report generation
  • Domain feedback translated into operational interfaces
Career tools · Private preview
Document and workflow product

Applywise

An application-preparation workspace that turns supplied facts into reviewable documents and organised next steps.

The work combines structured profile information, discovery and ranking, a document-generation pipeline, PDF export, versions, reusable answers and resumable job state. Local-first and browser-companion implementations support user review and source-fact preservation.

  • Source-grounded drafting and correction stages
  • Versioned PDF generation and resumable processing
  • Workflow state, receipts and regression checks
Content operations · Implemented platform
AIoverflow internal tooling

Source-aware publishing

A structured publishing pipeline that checks sources, duplicates and article quality before release.

The implementation combines structured model outputs, citation checks, duplicate detection, a separate editorial-review stage, bounded retries and idempotency. SEO, pagination and accessible web presentation connect the content pipeline to the public site.

  • Structured drafting and editorial review
  • Source, duplication and output validation
  • Searchable content with canonical and sharing metadata
Workflow automation · Prototype
AIoverflow internal tooling

Agent operations tooling

Task routing and agent handoffs organised around reviewable actions and recorded outcomes.

An operational toolkit turns incoming tasks into structured plans and scoped handoffs. Validation, duplicate handling, approval records and read-back checks keep drafting separate from permission to execute. It is an internal toolkit, rather than a general hosted agent platform.

  • Structured task routing and scoped handoffs
  • Reviewable plans and execution records
  • Validation and verification around tool actions
05Enterprise foundations

Built to perform.
Ready to operate.

Our delivery process covers the model, the software around it and the people operating it. These are the checks we build into the scope.

Explore all capabilities

Evaluate against reviewed examples, with clear scoring rules and acceptance criteria.

Use scoped permissions, explicit approvals and an inspectable action history.

Design for failed requests, retries, duplicate events and recovery.

Measure model quality, response time and operating cost together.

Validate changes with regression checks, a staged rollout and a rollback plan.

Document data handling, ownership, operating limits and support responsibilities.

06How we work

Fewer ideas, finished better.

  1. 01

    Understand the work.

    We map the users, current systems, data and exceptions. The result is a practical scope with acceptance criteria and a clear owner for each decision.

  2. 02

    Build and validate.

    We implement a focused workflow, test it with representative cases and review it with the people who will use it. Pilots and production releases have explicit readiness checks.

  3. 03

    Release and support.

    We prepare deployment, monitoring, recovery and handover. Training and an agreed support scope help your team operate the system and decide what to improve next.

Where we've competed & placed

Axis BankWalmartAmadeusBajaj FinservSamsungHoneywellDropboxBitgetAxis BankWalmartAmadeusBajaj FinservSamsungHoneywellDropboxBitget
A useful AI system needs the whole workflow: the right input, a checked result, a clear decision and a reliable next step.
— AIoverflow operating principle
07Get in touch

Start with the
work that matters.

Bring a workflow, a product idea or a system that needs attention. We'll help define a useful scope and what success should look like.

Get in touch hello@aioverflow.tech