FAQ
Questions we hear a lot.
Can't find what you're looking for? Get in touch and we'll answer directly.
What kind of companies do you work with?
Mostly funded startups and mid-size operating companies in fintech, healthcare, retail, and SaaS — teams that need working software, not a slide deck.
Do you work with our existing tech stack?
Yes. We regularly integrate with existing CRMs, ERPs, and internal tools rather than ripping and replacing. If a rebuild genuinely is the better call, we'll tell you why before we recommend it.
How long does a typical project take?
A focused website ships in 2–4 weeks. Web apps typically run 6–12 weeks depending on scope. AI agent and automation projects vary — we usually deliver a working v1 within the first 2–3 weeks so you're validating early, then iterate.
How involved do we need to be during the build?
We run weekly demos and async updates. Most clients spend 1–2 hours a week with us — more during discovery, less during build.
How do you price projects?
Fixed-price for well-scoped websites and defined-scope builds; time-and-materials with a not-to-exceed cap for exploratory AI/automation work where scope evolves with discovery.
What does an AI agent actually cost to run?
We design agents with cost-aware architecture — caching, model selection, and guardrails — and give you a clear monthly cost estimate before launch, not a surprise bill after.
Do you offer ongoing support after launch?
Most clients move to a monthly support & iteration retainer after launch, covering monitoring, small enhancements, and priority bug response. It's optional, not required.
What happens if something breaks after launch?
Every deployment includes monitoring and alerting. Support retainer clients get a < 48h response commitment; others can request one-off fixes. Existing clients can reach the support team at support@qodexify.com.
What is an AI agent?
An AI agent is software that uses a large language model to pursue a goal: it reads context, decides on steps and takes actions in other systems, such as resolving a ticket or updating a CRM, within permissions and approval rules you set.
What is the difference between AI automation and traditional workflow automation?
Traditional automation follows fixed rules and needs structured input. AI automation can interpret emails, documents and free text and handle variation, so it suits judgment-heavy work, while rule-based automation suits predictable steps. Many solutions combine both.
How long does it take to build an AI agent?
A pilot usually takes 2–4 weeks and a production-ready agent 6–12 weeks, depending on integrations, data quality and the level of human approval required.
Is my data safe when using AI models?
We minimise and redact the data sent to models, encrypt data in transit and at rest, enforce least-privilege access and can use providers or deployments that do not train on your data. Compliance needs such as GDPR or HIPAA are scoped in discovery.
Do I own the source code and the AI prompts?
Yes. Code, prompts, configuration and documentation are your property on final payment unless the contract states otherwise.
Will you sign an NDA?
Yes, we sign mutual NDAs on request before you share confidential information.
How much does custom software development cost?
Typical ranges: websites $5k–$20k, workflow automations $3k–$40k, AI agent pilots $10k–$30k and production agents $30k–$90k, web app MVPs $25k–$60k. We quote a fixed price or a capped estimate after a free consultation.
What do you need to give me a quote?
A short description of your goal, the systems you use, your timeline and a budget range. A 20-minute call is usually enough to prepare a written proposal within three business days.
Can you work with our in-house developers?
Yes. We can lead a project, augment your team or hand over to your developers with documentation and a walkthrough.
Glossary
Key terms in AI, automation and web development
Plain-language definitions of the terms used across this site.
- AI agent
- Software that uses a language model to plan steps and take actions in other tools to complete a goal.
- RAG (retrieval-augmented generation)
- A technique that lets a model look up relevant documents or data before answering, so responses are grounded in your information.
- Workflow automation
- Software that runs repetitive business steps automatically when a trigger occurs.
- API integration
- A connection that lets two software systems exchange data automatically.
- MVP (minimum viable product)
- The smallest version of a product that can be released to validate a business idea with real users.
- Core Web Vitals
- Google's page-experience metrics for loading speed, interactivity and visual stability.
- Human-in-the-loop
- A design where a person reviews or approves an AI or automated action before it takes effect.
- CI/CD
- Continuous integration and delivery: automated testing and deployment that make releases frequent and low-risk.