AI & Automation
AI SaaS Development that holds up under real users.
We focus on AI features inside a SaaS product — not a separate demo app. Written scope, your stack, weekly demos — no account-manager layer.
Your docs are scattered across ai saas development is blocking something else from shipping. We take a fixed window (8-10 weeks when multiple systems need integration), integrate with Azure OpenAI and Redis, and demo progress every week.
Fine-tuning before retrieval is usually backwards for internal knowledge bases.
We won't replace your support team on day one — deflection comes in phases.
Who this is for
- -Founders who need ai saas development scoped before the next fundraise narrative.
- -Product leads adding ai saas development with evals — not demo-day features.
- -Support or ops managers automating repeat work via ai saas development.
- -Teams that tried a chatbot hackathon and need ai saas development in production.
Problems we solve
- -AI SaaS Development estimates balloon because acceptance criteria were never written.
- -A previous vendor shipped ai saas development that broke on edge cases in week two.
- -Your team lacks bandwidth to own ai saas development while shipping the core product.
- -Integrations around Azure OpenAI are fragile and nobody owns on-call.
- -Stakeholders disagree on what "ai saas development done" means — so nothing ships.
What we deliver
- -Written scope for ai saas development with explicit in/out of scope
- -Weekly demo — live or recorded — with decisions logged
- -Acceptance checklist signed before production launch
- -Runbook for the failure modes we expect in month one
- -Handoff doc so your team can maintain without us
- -Working implementation in your repo using Azure OpenAI and Redis
How we work
- 1.Kickoff: access, repos, and 8-10 weeks when multiple systems need integration target
- 2.Prototype: rough end-to-end path for feedback early
- 3.Harden: edge cases, monitoring, and docs
- 4.Release: go-live support and next-step backlog
Why Futurebits
- -Stack-first: we start with Azure OpenAI unless the audit says otherwise.
- -Direct access to the people writing code or design files.
- -We won't replace your support team on day one — deflection comes in phases.
Frequently asked questions
What do you need from us to start?
One decision-maker, repo or staging access, and honest constraints (timeline, budget, stack). Existing docs help but aren't required.
Can you stay on after AI SaaS Development launches?
Yes — maintenance sprints or a partner retainer. Many teams keep us for the next bottleneck once v1 is stable.
Who on your team works on AI SaaS Development?
The same small team from kickoff to launch — not a rotating bench. You talk to the people writing code or design files.
What does the first week of AI SaaS Development look like?
Access, repo setup, and a written scope draft. No build until you sign off on cut lines and the metric we're targeting.
Do you work with our existing Azure OpenAI or Redis setup?
Yes, when it's sane. We audit first and tell you if something needs replacing — we won't rip out working infra for sport.
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AI Product Development by Futurebits: search, recommendations, or agents inside your existing product. Fixed window quoted after a 30-minute scoping call.
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AI Workflow Automation by Futurebits: LLM steps in ops pipelines with human review where it matters. Ship in your stack with explicit cut lines up front.
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Chatbot Development by Futurebits: website and support bots with escalation — not infinite intents. Direct access to the people doing the work.
RAG Application Development
RAG Application Development by Futurebits: retrieval pipelines with evals on your real documents. Acceptance tests signed before we call it done.
SaaS Development
SaaS Development by Futurebits: billing, onboarding, and the first paid customer path. Ship in your stack with explicit cut lines up front.
MVP Development
MVP Development by Futurebits: one testable hypothesis — not a feature wish list. Acceptance tests signed before we call it done.
