Services
AI for you
Big tech for small businesses
We want to find ways to integrate AI into your business to save you money.
We design custom solutions that reduce operational overhead, accelerate decision-making, and unlock hidden business opportunities. Our services focus on making AI practical and profitable, integrating seamlessly into your existing systems.
What does it cost?

Bullish on AI in small business
Typical small or moderately scoped AI projects (automation, bots, predictive models) commonly range between $5,000‑$25,000 depending on the use case with some project costing seven figures or more. Advisers AI offers prices competitive for small to medium‑sized businesses. We’re not charging Big4/enterprise rates.
Dealing with data

Data size & quality
The more data that needs to be collected / cleaned / integrated, the more work. Predictive modeling can vary a lot: small dataset vs. large datasets, simple model vs. complex model with many features or custom algorithm work.
End-to-end automation for scalable efficiency.

Infrastructure & Tools
Use of external APIs (OpenAI, Google, etc.), data pipelines, cloud hosting. Licenses for models, compute costs, maybe fees per token or per request. Automation platforms also have their own costs or subscription/licensing and skills required to build and maintain workflows.

Deliverables & Maintenance
End‐to‐end automation implies not just building, but perhaps deploying, monitoring, maintaining, maybe training staff, etc. That adds hours and effort.
What impacts price?
Factor | Drives cost down | Drives cost up |
Data size & quality | Small, clean data, few sources | Large amounts, dirty, many sources, messy formats |
Integration count & complexity | Using standard APIs, simple workflows | Custom integrations, multiple systems, legacy systems |
Model complexity | Simple model or off‑the‑shelf models | Custom models, more features, custom architecture |
Scope definition | Very clear spec, minimal changes | Vague spec, many changes |
Number of users / scale | Low usage, small roll‑outs | High usage, scaling demands, concurrency, latency requirements |
Support & maintenance commitment | Little to none beyond delivery | Ongoing maintenance, updates, support contracts |
Compliance / domain complexity | Less regulated / simple domain | Highly regulated industries (finance, healthcare), privacy/security needed |
Licensing / 3rd‑party tools used | Using open source or low‑cost tools | Paid/licensed tools, proprietary models, costly APIs |