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Nexaurai

Services

Intelligence, built into your business.

Eleven disciplines, one engineering team. Each service starts from a business challenge and ends with a system that runs in production.

01

AI Automation

Transform repetitive business processes into intelligent automated workflows.

The challenge

Teams spend hours re-keying data between inboxes, documents and systems. Rule-based automation breaks the moment an input looks slightly different.

Our solution

We design workflows where AI handles the unstructured parts — reading, classifying, extracting — and deterministic automation handles the rest, with validation and human approval where it matters.

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Capabilities

  • Business process automation
  • Intelligent workflows
  • n8n automation
  • Document automation
  • CRM / ERP workflows
  • Operational automation

Typical use cases

  • Inbound email triage and routing
  • Invoice and order document processing
  • Lead qualification and CRM enrichment
  • Back-office reconciliation and reporting

How it works

  1. 1MapDocument the process as it actually runs, including the exceptions.
  2. 2DesignDecide where AI adds judgement and where rules guarantee correctness.
  3. 3AutomateBuild the workflow with logging, retries and human-in-the-loop steps.
  4. 4MeasureTrack throughput, exception rates and quality, then iterate.
02

AI Integration

Integrate advanced AI capabilities into existing applications, platforms and business systems.

The challenge

Most organisations do not need another standalone tool. They need AI inside the systems their people already use, connected to the data those systems hold.

Our solution

We integrate large language models and AI services into your applications and platforms through clean, observable APIs — model-agnostic, so you are never locked to a single provider.

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Capabilities

  • OpenAI
  • Claude
  • Gemini
  • Open-source & Arabic-capable LLMs
  • API integration
  • ERP / CRM integration

Typical use cases

  • AI features inside an existing product
  • Summaries and drafting inside CRM or ticketing
  • Classification and extraction services for internal systems
  • Model routing across providers by cost and quality

How it works

  1. 1AssessReview the target systems, data flows and constraints.
  2. 2ArchitectDefine an integration layer with evaluation, fallbacks and cost controls.
  3. 3IntegrateShip AI capabilities behind stable, versioned interfaces.
  4. 4OperateMonitor quality, latency and spend in production.
03

AI Agents

Build intelligent assistants capable of helping customers, employees and business operations.

The challenge

Chatbots that only answer questions rarely change outcomes. Useful agents need to take actions — safely, with the right permissions and a clear audit trail.

Our solution

We build agents that reason over your knowledge, call your tools and complete multi-step tasks, with guardrails, approval steps and full observability.

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Capabilities

  • Arabic & English customer agents
  • Internal assistants
  • Voice AI
  • Sales assistants
  • Research agents
  • Multi-agent workflows

Typical use cases

  • Customer service agents that resolve requests in Arabic or English
  • Internal assistants connected to policies and systems
  • Sales assistants that prepare account briefs
  • Research agents that compile sourced reports

How it works

  1. 1ScopeDefine the tasks, tools and boundaries the agent is allowed to use.
  2. 2GroundConnect knowledge and systems with permission-aware access.
  3. 3GuardAdd approvals, limits and evaluation before anything reaches users.
  4. 4ObserveTrace every step so behaviour is explainable and improvable.
04

Custom AI Solutions

Develop tailored artificial intelligence platforms around specific business requirements.

The challenge

Off-the-shelf AI products fit generic problems. Competitive advantage usually sits in processes and data that are specific to your organisation.

Our solution

We design and engineer AI systems around your requirements — from retrieval and document intelligence to recommendation engines and full AI-native applications.

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Capabilities

  • AI SaaS
  • Enterprise AI applications
  • RAG systems
  • Document intelligence
  • Semantic search
  • Recommendation systems

Typical use cases

  • Domain-specific AI applications for internal teams
  • AI-native SaaS products
  • Document understanding pipelines
  • Personalisation and recommendation engines

How it works

  1. 1DefineTranslate a business goal into measurable AI requirements.
  2. 2PrototypeValidate feasibility on real data before committing to scale.
  3. 3EngineerBuild the production system: data pipelines, models, application.
  4. 4EvolveImprove with feedback loops and evaluation datasets.
05

RAG & Knowledge Systems

Turn documents, databases and internal know-how into answers your teams can trust.

The challenge

Critical knowledge is spread across file shares, wikis, tickets and databases. People spend too long searching — and generic AI tools cannot see any of it.

Our solution

We build retrieval-augmented systems that search your sources, respect existing permissions and cite where every answer came from.

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Capabilities

  • Retrieval-augmented generation
  • Semantic & hybrid search
  • Vector databases
  • Knowledge graphs
  • Source citations
  • Access-controlled retrieval

Typical use cases

  • Policy and procedure assistants
  • Arabic and English document search
  • Contract and case-file research
  • Support knowledge for service teams

How it works

  1. 1ConnectIngest sources with their structure and access rights intact.
  2. 2IndexChunk, embed and link content for precise retrieval.
  3. 3AnswerGenerate responses grounded only in retrieved, permitted sources.
  4. 4EvaluateMeasure answer quality against curated test questions.
06

Generative AI

Put content generation to work inside controlled, brand-safe business processes.

The challenge

Generative AI can draft, translate and summarise at scale — but unmanaged use creates inconsistent quality, brand risk and data exposure.

Our solution

We build generative workflows with templates, review steps and evaluation, so output is consistent, on-brand and appropriate for its audience.

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Capabilities

  • Document drafting
  • Summarisation
  • Arabic ↔ English translation & localisation
  • Structured content generation
  • Prompt & template systems
  • Output evaluation

Typical use cases

  • Proposal and report first drafts
  • Arabic and English content for audiences across the GCC
  • Meeting and case summaries
  • Product descriptions from structured data

How it works

  1. 1TemplateCapture tone, structure and rules as reusable templates.
  2. 2GenerateProduce drafts from approved inputs only.
  3. 3ReviewRoute output through human review where required.
  4. 4ImproveUse edits as feedback to raise first-draft quality.
07

Software Engineering

Build scalable applications and digital platforms engineered for long-term business use.

The challenge

AI features are only as reliable as the software around them. Fragile codebases and ad-hoc infrastructure make every new capability slower and riskier.

Our solution

We engineer modern web applications, SaaS platforms, APIs and backends with typed code, automated testing and infrastructure designed to be operated for years.

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Capabilities

  • Web applications
  • SaaS platforms
  • Backend development
  • APIs
  • Enterprise systems
  • Cloud applications

Typical use cases

  • Customer portals and internal tools
  • Multi-tenant SaaS platforms
  • API backends for mobile and web
  • Modernising legacy applications

How it works

  1. 1ArchitectChoose a stack and structure that fit the product's lifespan.
  2. 2BuildDeliver in short iterations with reviews and automated tests.
  3. 3ShipDeploy through CI/CD pipelines with monitoring from day one.
  4. 4MaintainKeep dependencies, security and performance in good order.
08

Data & AI Engineering

Build the pipelines, models and data foundations that AI systems depend on.

The challenge

AI projects stall when data is inconsistent, inaccessible or undocumented. Models need clean, governed, well-structured inputs.

Our solution

We design data pipelines, storage and quality controls so that analytics and AI systems can rely on the same trusted foundation.

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Capabilities

  • Data pipelines (ETL / ELT)
  • Data modelling
  • PostgreSQL & warehouses
  • Embedding pipelines
  • Data quality checks
  • In-country hosting options

Typical use cases

  • Consolidating data from operational systems
  • Preparing document corpora for retrieval
  • Feature pipelines for prediction models
  • Monitoring data freshness and quality

How it works

  1. 1InventoryMap sources, owners and quality issues.
  2. 2ModelDesign schemas that reflect how the business works.
  3. 3PipelineAutomate movement and transformation with tests.
  4. 4GovernDocument lineage, access and retention.
09

AI Strategy & Transformation

Identify high-value AI opportunities and create a practical path from concept to deployment.

The challenge

Many organisations have dozens of AI ideas and no clear way to decide which ones are worth building, in which order, and on what architecture.

Our solution

We assess readiness, prioritise use cases by value and feasibility, and turn the result into a roadmap with architecture and proofs of concept — not a slide deck that sits on a shelf.

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Capabilities

  • AI readiness
  • Use-case discovery
  • AI roadmap
  • Architecture
  • Proofs of concept
  • Transformation strategy

Typical use cases

  • Executive AI opportunity workshops
  • Use-case portfolio prioritisation
  • Target architecture for AI platforms
  • Proof of concept before investment decisions

How it works

  1. 1DiscoverInterview teams and map processes, data and pain points.
  2. 2PrioritiseScore use cases by value, feasibility and risk.
  3. 3PlanDefine architecture, sequencing and ownership.
  4. 4ProveValidate the highest-value idea with a working proof of concept.
10

AI Governance

Put security, privacy and human oversight into how AI is built and operated.

The challenge

As AI moves into core processes, leadership needs to know which systems exist, what data they use, how they are monitored and who is accountable.

Our solution

We help define practical governance — policies, access models, evaluation and monitoring — and build those controls directly into the systems we deliver.

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Capabilities

  • AI usage policies
  • PDPPL-aware data handling
  • Access control design
  • Human-in-the-loop design
  • Evaluation & monitoring
  • Audit logging

Typical use cases

  • Inventory of AI systems and data flows
  • Approval workflows for high-impact actions
  • Monitoring dashboards for AI quality
  • Guidelines for employee use of AI tools, aligned with Qatar's data protection law

How it works

  1. 1InventoryIdentify AI systems, data and decision points.
  2. 2AssessEvaluate risks and required controls for each use.
  3. 3ImplementBuild controls into systems, not just documents.
  4. 4MonitorReview performance and incidents continuously.
11

API & System Integration

Connect platforms, applications and data so information flows where it is needed.

The challenge

Disconnected systems create duplicate entry, inconsistent data and processes that depend on people copying information by hand.

Our solution

We design and build integrations — APIs, webhooks and event-driven flows — that connect CRM, ERP, databases and custom applications reliably.

Discuss this service

Capabilities

  • REST & GraphQL APIs
  • Webhooks & events
  • ERP / CRM connectors
  • Middleware & orchestration
  • Authentication & security
  • Integration monitoring

Typical use cases

  • Synchronising CRM and ERP records
  • Exposing legacy systems through modern APIs
  • Event-driven notifications across tools
  • Partner and supplier data exchange

How it works

  1. 1MapIdentify systems of record and the flows between them.
  2. 2ContractDefine interfaces, schemas and error handling.
  3. 3ConnectBuild integrations with retries, idempotency and logging.
  4. 4WatchMonitor failures and data drift across systems.

Not sure which service fits?

Describe the problem. We will tell you honestly which approach makes sense, including when it is not AI.

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