Ready to See Where AI Moves the Needle for Your Business?
30 minutes. No slides. An honest conversation about your highest-value AI opportunity.
Most enterprises run AI pilots. Few have turned them into production systems that move the numbers. Growexx is the AI consulting company that closes that gap, from strategy to live deployment, with a measurable business outcome.
Your business has run the pilots. Bought the tools. Hired the data scientists. But the AI ROI still hasn’t shown up in the P&L. That’s not an AI problem — it’s an execution problem. The gap between a working model and a working business outcome is where most AI programs die. And that gap is exactly what Growexx helps you close.
Our AI consulting services are for CEOs, CIOs, and operations leaders who need an AI partner that builds, integrates, and stays accountable — not one that hands you a roadmap and bills out. We are a leading AI consulting company that ships production-grade AI into your existing stack and measures success in business metrics, not model benchmarks. If your AI investment isn’t converting yet, this is the conversation to have.
Stop guessing which AI initiative to fund first. We deliver a board-ready roadmap — prioritized use cases, ROI projections, 90-day plan — in 3–4 weeks.
LLMs that work inside your business logic — not chatbots that hallucinate on your customers. We select, configure, and deploy foundation models with enterprise guardrails built in.
Custom ML models trained on your data — predicting churn, demand, fraud, credit risk, or equipment failure before your team has to react.
GPT-4o embedded into your CRM, ERP, or document workflows — with the data controls your compliance team actually requires.
AI already in production? We find what’s silently underperforming — before it causes a visible, expensive failure.
AI that nobody uses delivers zero ROI. We close the adoption gap — training, governance, and the internal champions who sustain the transformation after we leave.
AI business consulting works when it reflects how your industry operates—its data structures, regulatory constraints, and decision cycles. Our industry expertise ensures proven solutions aligned to your business outcomes.
Reconciliation cycles span 10–14 days. Compliance reporting eats 30–40% of finance team bandwidth. Fraud detection relies on rule-based systems that lag real-world risk by 24+ hours.
Oracle Fusion Financials + AI Account Reconciliation (Recogent) + ML fraud detection agents on OCI, integrated to your core banking system via secure APIs. Credit scoring trained on bureau and behavioural data.
Live reconciliation automation engine, audit-ready dashboards, real-time fraud alerts with explainability, compliance monitoring for RBI/SEC/GDPR, ML credit scoring API.
Faster month-end close at a Tier-1 private bank in India.
Demand forecasts are built on historical averages. Supplier failures surface as late shipment notices. Equipment downtime costs 5–15% of annual revenue. Shop-floor data doesn't reach the ERP in time to change decisions.
Demand sensing models that update daily, predictive maintenance on IoT sensor streams, supplier credit risk scoring, and computer vision quality control — all integrated into Oracle SCM and ERP for real-time visibility.
Demand forecasting engine (GrowExx Inventory Forecasting), predictive maintenance dashboard, supplier risk scoring model, computer vision QC module, automated PO exception handling.
Reduction in safety stock for a global auto-parts manufacturer.
Revenue cycle leaks 3–8% of net revenue through claim denials and manual processing delays. Clinical and financial data live in separate systems, blocking real-time operational visibility.
NLP pipeline for clinical notes, automated claims reconciliation with AI exception handling, staffing forecast models on Oracle HCM, and supply chain visibility via FHIR-compliant APIs.
Automated claims reconciliation engine, clinical NLP pipeline, staffing forecast dashboard, procurement intelligence module, HIPAA compliant audit trail, regulatory compliance reporting.
Net collections lift for a 1,200-bed hospital network.
Omnichannel orders don't reconcile cleanly across POS, e-commerce, and wholesale. Store-level margin is invisible in real time. Promotions are built on gut feel, not predictive uplift models.
Unified order book across all channels, AI churn prediction for early intervention, recommendation engine for personalization at scale, dynamic pricing API, and RFM segmentation for targeted promotion optimization.
Unified order reconciliation, SKU-level margin dashboards, churn risk scoring model (GrowExx Churn Prediction), promotion uplift models, RFM segmentation engine, customer lifetime value prediction.
Lift on targeted promotions for a distribution enterprise.
30 minutes. No slides. An honest conversation about your highest-value AI opportunity.
A structured two-week engagement. We profile your data assets, map high-volume workflows, and pressure-test AI feasibility against your tech stack and compliance constraints.
Output: A prioritized use case roadmap with ROI estimates per initiative — so leadership knows what to fund first, and in what order.
Solution architecture, data model design, LLM evaluation, integration blueprints. We decide what foundation models to use, what to fine-tune, what to build custom — and how every layer connects to your existing stack.
Output: Architecture documents signed off by your technical lead, your business lead, and our delivery head.
We build, test, and integrate production-grade AI in agile sprints. Every sprint ends with a working demo — not a status update. Models trained, APIs deployed, integrations validated against your live data.
Post-deployment model monitoring, drift detection, retraining pipelines, and performance tuning against your KPIs. We also implement AI governance controls — explainability, bias checks, audit trails — for regulated environments.
Model monitoring, drift detection, retraining schedules, and feature updates as your business evolves. We run quarterly business reviews to ensure your AI continues to deliver ROI as data distributions shift and business requirements change.
Output: Quarterly AI health reviews, model retraining cadence, new use case pipeline, or clean handover with runbooks and onboarding documentation.
Most AI consulting companies end at the roadmap. We start there. Our engineers build, integrate, and stay accountable through go-live — measured by business outcomes, not delivery milestones.
Recogent, Hirin.ai, Inventory Forecasting. Three production-grade AI products deployed at an enterprise scale. If a use case can be productized, it already is — and costs 40–60% less than custom build.
Our team combines AI/ML engineering with functional expertise in finance, supply chain, and clinical operations — the combination that makes AI production-ready.
We commit to a measurable business outcome within 90 days of engagement to start. If the use case doesn’t support that, we say so before you sign — not after.
GDPR, HIPAA, SOX, and regional data privacy built into every engagement from the architecture stage. We don’t retrofit compliance — we engineer it from day one.
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Our client retention rate is the most honest signal of delivery quality. Clients stay because the AI we build keeps working — and we keep expanding what it does.
Explore how AI can impact your operations, efficiency, and ROI.
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GrowExx helped in launching a funding platform to help budding musicians with no strings attached.
Cost efficiency and the ability for the team to basically respond to us daily — they were always available. When you find a good firm, you keep it. That’s why we went with Growexx.
Growexx was the second-cheapest and really just had the best presentation. The price differential versus the others was two to four times, and we got more value than any of them could have delivered.
If you’re looking for a reliable offshore AI development partner, definitely try them. They’ve built good product management processes and strong engineering practices that show in every deliverable.
Start a strategic conversation around your AI roadmap!
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LLM-powered applications, AI agents, and RAG pipelines — from architecture to production deployment. Build what the roadmap calls for.
Vetted ML engineers, LLM developers, and MLOps architects deployed in 48–72 hours. Extend your team, not your vendor list.
Power BI, Looker, Conversational BI. Turn your raw data into decisions your executives can act on before the meeting ends.
Predictive analytics, real-time pipelines, and custom ML models for operations teams who need intelligence, not dashboards.
An AI consulting company helps businesses plan, implement, and operate artificial intelligence systems. The scope ranges from identifying the right AI use cases to building custom machine learning models, integrating large language models, and training your teams to sustain the change.
Where most firms stop: strategy, roadmap, or proof of concept. Where GrowExx continues into production, build, deployment, and post-launch monitoring — with the same team across every stage. No advisory firm handing off to a development shop mid-project.
Costs vary by scope and engagement model. As a reference point: an AI strategy and roadmap engagement typically runs $15,000–$40,000 for a 3–4 week sprint. Full implementation projects range from $50,000 to $500,000+ depending on complexity, integrations, and team size.
GrowExx offers three engagement models: project-based (fixed scope), dedicated AI team (ongoing), and staff augmentation (extend your team). Engagements using our proprietary AI products — Recogent, Hirin, Inventory Forecasting — typically cost significantly less than ground-up builds, since the core system already exists. Book a 30-min call and we’ll give you a realistic scope estimate before any commitment.
AI consulting focuses on strategy: which AI to build, for which use case, with what ROI model, on what timeline. AI development focuses on execution: building, training, deploying, and monitoring the systems that implement that strategy.
Most firms specialize in one. GrowExx does both — which means you never lose context, pace, or accountability at the handover point where most AI projects stall. Strategy and build are scoped in a single engagement, with one delivery lead accountable for both.
We’re model-agnostic. Our engineers work across OpenAI GPT-4o, Anthropic Claude, Google Gemini, Meta LLaMA, and Mistral for generative AI. For ML infrastructure: AWS SageMaker, Azure ML, GCP Vertex AI, Databricks, dbt, LangChain, Pinecone, and more.
We recommend the stack that’s right for your data, compliance requirements, and budget — not based on vendor partnership economics. Our recommendation reports always include a cost model for the top two or three options so your procurement team can make an informed decision.
Yes — and this is one of our strongest capabilities. Growexx has active production integrations with Oracle Fusion, SAP, Salesforce, ServiceNow, and custom ERP/CRM platforms across multiple client environments. We are an Oracle Partner with appraised delivery practices.
Our architecture design process (Step 02) starts with your existing stack and designs AI systems that enhance it — not replace it. We assess integration complexity during the Discovery sprint before any development is scoped or committed.
A strategy and roadmap engagement takes 3–4 weeks. Proof of concept takes 2–4 weeks. A production implementation — from discovery to go-live — typically runs 8–20 weeks depending on integration complexity and scope.
Our 90-Day First Outcome methodology structures every engagement, so your leadership team sees a deployed, working AI system within 90 days of kickoff. We scope backward from that deadline, not forward from a requirements document.
Yes. We offer post-deployment support through retained advisory, managed AI operations, and dedicated team models. This includes model retraining as data evolves, performance monitoring, system updates, and expansion into new use cases. Most of our clients have been with us for 2+ years.
Our AI consulting team will help you identify high-impact opportunities and execute them with speed, structure, and accountability.
