AI Consulting & Strategy

AI That Works for Your Business.
Not Just Your Industry.

We build, deploy and operationalise AI across the full capability stack — from conversational agents and intelligent document processing to predictive analytics, autonomous workflows and custom LLM applications. Every engagement starts with strategy and ends with measurable operational impact.
Book a Free AI Strategy Session
See Our AI Capabilities
Clutch ★★★★★ 4.6 glassdoor ★★★★★ 4.6 Google ★★★★★ 4.6 Upwork ✔ 100% Job Success

We Cover the Full AI Lifecycle

Most AI engagements fail at one of three points: the strategy is too vague to implement, the engineering is not aligned to business outcomes, or the model is built but never embedded into how the business actually operates. We work across all three.
01
Strategy

AI Strategy & Readiness

We assess your data infrastructure, workflows, existing tools and business goals — and produce a prioritised AI roadmap that identifies quick wins, 90-day targets and longer-term transformation opportunities.

Output: Prioritised AI roadmap with clear ROI projections per initiative.

02
Engineering

Custom AI Engineering

We design and build AI systems — conversational agents, document intelligence pipelines, predictive models, computer vision systems and autonomous workflows — tailored to your specific operational requirements.

Output: Production-grade AI systems deployed in your environment.

03
Scale

Operationalisation & Scale

We embed AI into your daily operations — connecting it to your ERP, CRM and productivity tools, training your team, and establishing monitoring and improvement cycles so the system gets better over time.

Output: AI that runs as part of your operation, not as a separate experiment.

Applied AI Across Six Capability Areas

We build across the full AI capability spectrum. Here is what we deliver and what we build it with.

01
Conversational AI & RAG Agents

Intelligent assistants and chatbots that understand context, retrieve information from your knowledge base and provide accurate, domain-specific responses. Built using Retrieval-Augmented Generation for precision that generic LLMs cannot match.

Tech stack: LangChain · OpenAI GPT-4 · Anthropic Claude · Pinecone · Chroma · Llama · Hugging Face

In practice: A fintech client deployed a RAG agent trained on their full compliance documentation — answering complex regulatory queries for their operations team in seconds, replacing a process that previously required a compliance analyst.

02
Agentic & Autonomous AI

AI agents that do not just answer questions — they reason, plan and take actions across connected systems. Agents that monitor live data, make decisions based on configured logic, and execute multi-step workflows without human intervention at the execution layer.

Tech stack: AutoGen · CrewAI · LangGraph · BabyAGI · n8n · Make · custom agent frameworks

In practice: A travel DMC deployed an autonomous Email-to-Quote Agent that reads partner enquiries, extracts booking parameters, retrieves live rates and delivers formatted quotations — without a human involved until the approval step.

03
Computer Vision & Document Intelligence

AI systems that read, interpret and extract structured data from images, scanned documents, invoices, identity documents and visual environments. From OCR to full document understanding pipelines. 

Tech stack: OpenCV · AWS Textract · Google Vision · LayoutLM · YOLOv5 · Tesseract · BLIP

In practice: A lending operation had KYC document processing automated — identity verification, data extraction and compliance cross-referencing completed in under 2 minutes per application, replacing a 4-hour manual review process.

04
Predictive Analytics & ML Models

Custom machine learning models trained on your data — demand forecasting, churn prediction, lead scoring, fraud detection, anomaly identification and inventory optimisation. Built for your specific patterns, not generic benchmarks. 

Tech stack:
TensorFlow · PyTorch · scikit-learn · XGBoost · MLflow · AWS SageMaker · Azure ML

In practice: A wholesale distributor had a demand forecasting model trained on 3 years of sales velocity data — reducing emergency procurement events by 70% within the first quarter of deployment.

05
NLP & Intelligent Text Processing

Natural language processing for classification, sentiment analysis, entity extraction, intent recognition and content generation. Applied to support tickets, customer feedback, contracts, emails and any text-heavy operational workflow.

Tech stack:
spaCy · Hugging Face Transformers · BERT · GPT-4 fine-tuning · TextBlob · custom NLP pipelines

In practice: A fintech client had their inbound support tickets automatically classified by category, urgency and sentiment — routing each to the correct team with a pre-drafted response suggestion, reducing first response time by 60%.

06
Customer Experience AI

AI-powered customer touchpoints across voice, chat and visual channels — intelligent virtual assistants, automated support triage, personalised recommendation engines and proactive engagement workflows. 

Tech stack:
Twilio · Dialogflow · Voiceflow · Rasa · WhatsApp Business API · Intercom

In practice: A travel company deployed a WhatsApp-based booking assistant handling enquiries, availability checks and booking confirmations — managing 300+ concurrent conversations without additional headcount.

AI Engineered for Your Industry

Generic AI produces generic results. Every system we build starts from deep knowledge of the industry it operates in — the data patterns, the regulatory environment, the operational rhythms and the workflows where AI can have the highest impact.
Travel & DMC

Travel & DMC

Quotation automation, booking intelligence, GDS integration, reconciliation agents, dynamic pricing analysis, partner communication workflows and multi-currency operational data pipelines.

Key deployments: Email-to-Quote Agent, Autonomous Booking Bot, Travel Reconciliation Bot.

Fintech & Lending

Fintech & Lending

KYC document processing, compliance automation, fraud detection models, payment reconciliation, chargeback management, credit scoring pipelines and multi-channel recon agents.

Key deployments: Multi-Channel Recon Agent, Smart Gateway Switcher, Auto-Dispute Agent.

Manufacturing & Wholesale

Manufacturing & Wholesale

Demand forecasting models, AI-driven procurement, inventory optimisation, supplier analysis, production scheduling intelligence and quality control computer vision pipelines.

Key deployments: AI Procurement Agent, Demand Forecasting Model, Inventory Intelligence.

How an AI Consulting Engagement Works

Every engagement follows a structured process — from initial assessment through to production deployment and ongoing improvement.
01

AI Readiness Assessment

We evaluate your data infrastructure, existing systems, workflow complexity and business goals. We identify where AI can have the highest impact — and where it cannot — so every investment is directed at real value.

 

Duration: 1–2 sessions.
Output: Prioritised AI opportunity map.

02

Solution Design & Architecture

We design the AI system architecture — model selection, data pipeline design, integration points with your ERP/CRM, and the evaluation criteria that will define success before a line of code is written.

 

Duration: 1–2 weeks.
Output: Technical architecture document and project plan.

03

Build, Train & Test

Engineering the system, training on your data, testing against real operational scenarios and edge cases. All development follows a staged approach — each milestone reviewed before the next begins.

 

Duration: 4–12 weeks depending on scope.
Output: Production-ready AI system.

04

Deploy, Embed & Improve

Deployment into your live environment, integration with existing systems, team training and a structured improvement cycle. AI systems improve with data — we build the feedback loops from day one.

 

Duration: Ongoing.
Output: AI embedded in your operation with measurable performance metrics.

Frequently Asked Questions

What is the difference between AI consulting and just hiring AI developers?

Do you work with businesses that have no existing AI experience?

What industries do you specialise in?

How do you handle data privacy and security?

What does a typical AI consulting engagement cost?

Ready to Build an Odoo That Works Like an Intelligent Operation?

Book a free 30-minute Odoo AI Workflow Mapping Session. No pitch. No deck. A clear picture of what Layer 1, Layer 2 and Layer 3 automation looks like for your specific operation.
Book Your Free Workflow Mapping Session
Talk to Our Team