What does an AI consultancy do?
An AI consultancy helps businesses identify, design, and implement artificial intelligence solutions that solve real operational problems. This includes assessing your current data infrastructure, defining an AI strategy, building and deploying machine learning models, and integrating intelligent automation into existing workflows. The goal is to translate AI's potential into measurable business outcomes such as cost reduction, faster decisions, and competitive differentiation.
How much does an AI consultant charge?
AI consulting fees vary widely based on project scope, complexity, and engagement model. Hourly rates typically range from $75 to $300+, while project-based engagements can range from a few thousand dollars for a focused strategy session to hundreds of thousands for full enterprise implementations. At Codiot, we tailor engagements to your budget and goals — contact us for a transparent, scoped proposal specific to your needs.
Is AI suitable for small businesses and startups?
Absolutely. AI is no longer exclusively for large enterprises. Startups and SMEs can leverage AI for automation, customer insights, predictive analytics, and personalized marketing at scalable costs. Codiot specifically designs AI solutions for businesses at every stage — from early-stage startups exploring their first AI use case to growing SMEs seeking operational efficiency gains.
How long does an AI consulting engagement typically take?
Timelines depend on project scope. A discovery and strategy engagement can be completed in 2–4 weeks. A full AI implementation — including data infrastructure, model development, and deployment — typically spans 2–6 months. Codiot works with you to define a phased roadmap so you begin seeing value early, without waiting for the entire project to conclude.
What data do I need to get started with AI?
The data requirements depend on the specific AI use case. Many businesses already have valuable data in CRMs, ERPs, transaction logs, or web analytics platforms. Codiot's data engineering team assesses your existing data assets, identifies gaps, and builds the pipelines needed to make your data AI-ready — even if your current data infrastructure is limited or disorganized.
Can Codiot integrate AI into our existing software systems?
Yes. Codiot specializes in integrating AI models and intelligent automation directly into your existing applications, workflows, and platforms — including Salesforce, custom web and mobile applications, and enterprise systems. We ensure integrations are seamless, minimizing operational disruption while maximizing the immediate impact of your new AI capabilities.
What industries does Codiot serve with AI consulting?
Codiot delivers AI consulting across a broad range of industries, with particular depth in investment, finance, and private lending. We also serve technology companies, product startups, and enterprise organizations across sectors. Our cross-industry experience enables us to apply proven AI patterns while customizing solutions to the specific regulatory, operational, and competitive context of your business.
How do you measure the success of an AI project?
Success is measured against the business KPIs defined during the strategy phase — such as reduction in processing time, improvement in forecast accuracy, revenue impact, or operational cost savings. Codiot establishes clear baseline metrics before development begins and provides ongoing monitoring and reporting post-deployment so you can quantify the ROI of your AI investment with confidence.