AI & Automation
AI Workflow Automation in your repo, with weekly demos.
We focus on LLM steps in ops pipelines with human review where it matters. Written scope, your stack, weekly demos — no account-manager layer.
Your docs are scattered across ai workflow automation — and the fix isn't another generic agency retainer. We scope to 8-10 weeks when multiple systems need integration, using OpenAI and Weaviate in your stack where it makes sense. Weekly demos and a written cut line for what ships now versus later.
If you can't eval it with 50 real questions, it's not ready for customers.
We won't promise accuracy numbers without running evals on your docs.
Who this is for
- -Product leads adding ai workflow automation with evals — not demo-day features.
- -Support or ops managers automating repeat work via ai workflow automation.
- -Teams that tried a chatbot hackathon and need ai workflow automation in production.
- -Founders who need ai workflow automation scoped before the next fundraise narrative.
Problems we solve
- -AI Workflow Automation estimates balloon because acceptance criteria were never written.
- -A previous vendor shipped ai workflow automation that broke on edge cases in week two.
- -Your team lacks bandwidth to own ai workflow automation while shipping the core product.
- -Integrations around OpenAI are fragile and nobody owns on-call.
- -Stakeholders disagree on what "ai workflow automation done" means — so nothing ships.
What we deliver
- -Written scope for ai workflow automation 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 OpenAI and Weaviate
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 OpenAI unless the audit says otherwise.
- -Direct access to the people writing code or design files.
- -We won't promise accuracy numbers without running evals on your docs.
Frequently asked questions
Can you stay on after AI Workflow Automation 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 Workflow Automation?
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 Workflow Automation 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 OpenAI or Weaviate 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.
What if we already started AI Workflow Automation in-house?
We pick up from current state, document what's there, and focus on what's blocking launch — not a rewrite unless necessary.
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