Bloomit · FAQ
Answers stay open—no accordion theater. Scan the lanes, or start with the one question everyone asks first.
Everyone asks this
A chatbot answers questions. An agent completes work: it holds state across steps, calls your systems, updates records, and finishes a loop—with approval gates on anything high-stakes. The output isn’t just text; it’s a closed workflow in your tools.
01 · What this is
Custom AI agents and business process automations for repetitive workflows—lead qualification, support triage, document intake, follow-ups, ops and finance loops—wired into the CRM, ERP, support desk, inbox, and APIs you already use.
Teams with frequent, repeatable work tied to a clear outcome—and not enough people (or patience) to keep doing it by hand. If the process happens often, looks similar every time, and has a measurable result, you’re a fit.
No. Tools give you capability; we design the process, handle exceptions, integrate systems of record, add human checkpoints where needed, and ship something that holds up in production—not a brittle happy-path zap.
02 · Fit & ROI
Start where volume and pain meet: high frequency, clear rules, measurable outcome. Lead follow-up, ticket triage, document handling, and data entry between systems are common first wins. Discovery ranks candidates by hours saved versus complexity.
We measure in hours returned, cycle-time reduction, and fewer handoff errors—not vague “AI transformation.” A focused pilot usually proves payback on one workflow before you expand. We’ll be candid if a process isn’t worth building yet.
Most tools fail because they ignore how work actually moves—exceptions, workarounds, and real systems. We map the messy process first, build failure routes and human review into the design, and ship a thin slice against real cases early.
Hire us when you have a clear process, lack dedicated AI capacity, and want a working system in weeks. Build in-house when AI is core product work and you already have the team. A common path: we build and validate the first version; your team maintains it once it’s documented.
03
We design around your constraints: integrations into systems you control, credentials in your environment, and clear rules about what leaves your perimeter. We don’t use your business data to train a public model. Details get written into scope before build.
You do. Automations and agents live in your accounts where possible. You keep the credentials, documentation, and artifacts. No hostage platform—if we part ways, you still run what we built.
Guardrails are architecture, not hope: action limits, policy filters, confidence thresholds, and human-in-the-loop on consequential steps. Every important tool call and decision can be logged so you can see what happened and why.
Yes—where judgment matters. Routine steps complete alone; ambiguous or high-stakes steps escalate to a person with a clear queue and context. Your team stays in control of exceptions and ongoing refinement.
04 · Working together
How does an engagement start?
With a strategy call, then discovery: map the process, rank opportunities, and write a clear scope (including what’s out of scope). Build only starts when that scope is agreed—no blank-check builds.
How long does a first project take?
A focused pilot often lands in weeks, not quarters—discovery first, then build with a thin slice live against real cases before full cutover. Larger multi-process systems take longer but keep the same cadence.
What do we get when you’re done?
A production workflow or agent in your environment, integrations that stick, monitoring and failure alerts, and a handoff: runbook, walkthrough, and clarity on how to change it. Optional ongoing improve-and-scale support if you want it.
What happens when something breaks in production?
Automations include error routes: retries where safe, alerts where not, and logs to diagnose. We design for failure up front. Support after launch can be a handoff to your team or an ongoing cadence with us—decided in scope, not after a surprise.