AI & Automation
AI Customer Support Tools without the six-month discovery phase.
We focus on deflection on top-20 tickets with Zendesk or Intercom handoff. Written scope, your stack, weekly demos — no account-manager layer.
You tried a chatbot demo that ai customer support tools — scope creep is the enemy. We agree on one metric, one cut line, and 4-6 weeks for customer-facing AI with evals. Then we build until that version is signed off.
Fine-tuning before retrieval is usually backwards for internal knowledge bases.
We won't train on customer data without explicit access boundaries.
Who this is for
- -Founders who need ai customer support tools scoped before the next fundraise narrative.
- -Product leads adding ai customer support tools with evals — not demo-day features.
- -Support or ops managers automating repeat work via ai customer support tools.
- -Teams that tried a chatbot hackathon and need ai customer support tools in production.
Problems we solve
- -AI Customer Support Tools estimates balloon because acceptance criteria were never written.
- -A previous vendor shipped ai customer support tools that broke on edge cases in week two.
- -Your team lacks bandwidth to own ai customer support tools while shipping the core product.
- -Integrations around Azure OpenAI are fragile and nobody owns on-call.
- -Stakeholders disagree on what "ai customer support tools done" means — so nothing ships.
What we deliver
- -Written scope for ai customer support tools 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 4-6 weeks for customer-facing AI with evals 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 train on customer data without explicit access boundaries.
Frequently asked questions
How is AI Customer Support Tools priced?
Fixed scope for sprints (4-6 weeks for customer-facing AI with evals). Broader work runs as a pod with weekly demos. We quote after a 30-minute scoping call.
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 Customer Support Tools 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 Customer Support Tools?
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 Customer Support Tools 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.
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