Our AI consulting service begins with a deep assessment of your data readiness, business workflows and strategic goals. Unlike standard IT consulting that may focus on software implementation alone, we help you identify high-impact AI use cases, build a tailored roadmap, align stakeholders, and oversee deployment so that AI becomes a value-driver—not just a tool.

We evaluate readiness based on several criteria: availability and quality of data, clarity of business challenges, stakeholder alignment, infrastructure capability and change management maturity. During an initial discovery session, we highlight the gaps and opportunities—so you can decide whether to begin now or build readiness first.

Our engagements aim for measurable outcomes like improved decision-making speed, process automation, cost reduction, new revenue streams or enhanced customer experience. We work with you to define KPIs up front, then design and implement AI interventions that track against those metrics. Success for us means your business is visibly stronger after adoption.

We work with a broad range of industries—such as e-commerce, finance, healthcare, logistics, manufacturing and services—and with businesses ranging from mid-market to enterprise. Whether you’re a startup looking to pilot AI or a global enterprise scaling AI across functions, we customise our engagement accordingly.

Our process is structured in phases: Discovery & Assessment → Strategy & Roadmap → Pilot/Proof of Concept → Implementation & Integration → Monitoring & Optimization. Depending on complexity (data volume, integrations, use-cases) a typical consulting engagement can last 6–16 weeks for strategy + pilot, with full roll-out and optimization continuing afterwards.

Pricing depends on scope, business size, data maturity and desired outcomes. We offer engagement models like fixed-fee strategy packages, hourly advisory, or dedicated-resource models for longer engagements. After our discovery phase, you receive a transparent proposal that aligns cost to defined deliverables and ROI expectations.

Successful AI adoption requires more than technology: we address change management by training your teams, defining ownership, creating workflows, and embedding governance—covering data privacy, bias mitigation, and compliance. We help you build an operational model to sustain the AI capability long term.

After initial consulting and deployment, we offer continued monitoring, model refinement, performance reviews, and advisory to scale further use-cases. We can also assist in vendor selection, infrastructure upgrades, or auditing your AI stack—ensuring your AI investment remains current, effective and aligned with evolving business goals.