The cost of a custom AI solution depends on scope — how many workflows you automate, the systems it integrates with, and whether you need off-the-shelf or custom-trained models. TechInfini scopes every engagement with a fixed-price pilot first, so you get a clear, predictable quote and proof of ROI before committing to a full build.

Share your use case and we will return a detailed estimate within two business days.

Most AI and automation projects ship in phases: a working pilot in two to four weeks, and a full production rollout typically within two to four months. Simple workflow automations can go live in days, while custom-trained models or complex integrations take longer.

TechInfini gives you a phase-by-phase timeline during the discovery stage, before any build begins.

No. TechInfini builds AI solutions with strict data boundaries — your company data is never used to train third-party or public models. We use private deployments, enterprise API tiers that exclude your data from training, and, where needed, models that run entirely within your own environment.

Data ownership and access rules are agreed in writing before the project starts.

Not always. Many high-value AI solutions — chatbots, document processing, generative-AI features and workflow automation — use pre-trained models and need little or no historical data. Larger datasets only become important when you need a custom predictive model.

During discovery, TechInfini tells you exactly what data, if any, your use case requires.

RPA (robotic process automation) uses software bots to repeat fixed, rule-based tasks exactly as a person would click through them. AI automation adds judgment — it can read unstructured text, make decisions and handle exceptions.

In practice the two work best together: RPA handles the predictable steps, and AI handles the parts that need interpretation.

Yes. TechInfini specialises in adding AI and automation to software you already run — CRMs, ERPs, e-commerce platforms, internal tools and custom applications — through APIs, webhooks and direct integrations. We work within your existing data and security model, so you gain AI capability without replacing your current systems.

ROI is agreed upfront as measurable success metrics — hours saved per week, faster turnaround times, error-rate reduction or cost per task. TechInfini starts every engagement with a pilot tied to a single workflow, measures the result against a baseline, and only recommends scaling once the numbers are proven.

TechInfini works across the major AI ecosystems — OpenAI GPT, Anthropic Claude, Google Gemini and open models such as Llama — plus the automation platforms n8n, Make and Zapier, and ML frameworks including TensorFlow and PyTorch.

We choose the model and platform that best fit your accuracy, privacy and budget needs rather than defaulting to a single vendor.

Yes, when it is built correctly. Generative AI becomes reliable for business use through techniques like retrieval-augmented generation — grounding answers in your own verified data — together with guardrails and human review for high-stakes steps.

TechInfini tests every solution for accuracy and edge cases before launch and tunes it against agreed quality thresholds.

After launch, TechInfini monitors the solution in production, tracks accuracy and performance, and sets up alerts and retraining so quality holds as your data changes. We also document the system and train your team, and offer ongoing support and enhancement plans so the solution keeps improving over time.