AI & Automation
AI Document Processing in your repo, with weekly demos.
We focus on PDFs and forms parsed into structured data you can act on. Written scope, your stack, weekly demos — no account-manager layer.
Support is answering the same ai document processing is blocking something else from shipping. We take a fixed window (8-10 weeks when multiple systems need integration), integrate with OpenAI and Weaviate, and demo progress every week.
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 document processing with evals — not demo-day features.
- -Support or ops managers automating repeat work via ai document processing.
- -Teams that tried a chatbot hackathon and need ai document processing in production.
- -Founders who need ai document processing scoped before the next fundraise narrative.
Problems we solve
- -AI Document Processing estimates balloon because acceptance criteria were never written.
- -A previous vendor shipped ai document processing that broke on edge cases in week two.
- -Your team lacks bandwidth to own ai document processing while shipping the core product.
- -Integrations around OpenAI are fragile and nobody owns on-call.
- -Stakeholders disagree on what "ai document processing done" means — so nothing ships.
What we deliver
- -Written scope for ai document processing 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.Align: goals, constraints, and who signs off on ai document processing
- 2.Cut: smallest version that proves value — write it down
- 3.Ship: incremental releases with review each week
- 4.Measure: check the metric we agreed on; iterate or close
Why Futurebits
- -Typical window: 8-10 weeks when multiple systems need integration — stated in writing before we start.
- -Weekly demos with written decisions — not status decks.
- -Stack-first: we start with OpenAI unless the audit says otherwise.
Frequently asked questions
Can you stay on after AI Document Processing 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 Document Processing?
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 Document Processing 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 Document Processing 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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