Discovery
We map your call flows, systems, and success metrics — then agree on what a production-ready agent has to do before a single line ships.
Your workflows. Our engineers in the build.
SpeechifyAI engineers embed with your team to design, build, and ship production voice agents against the systems and constraints you already have.
- Embedded directly with your team
- Built against real workflows and systems
- Available with Enterprise
From prototype to production
The hard part is everything around the model.
Real call flows touch internal tools, knowledge, telephony, compliance, and edge cases that never appear in a demo. Your forward-deployed engineer owns that delivery gap with your team, in your stack.
Embedded deliverySystems to production
How it works
One team from discovery through iteration.
The engagement stays accountable to production outcomes, not a handoff document or a proof of concept.
Build
Our engineers design the agent, wire up your tools, integrations, and knowledge base, and tune prompts and guardrails against your real conversations.
Launch
We go live behind monitoring, evals, and deterministic guardrails — with clear ownership for every call path.
Iterate
As volume grows and edge cases surface, we keep tuning — new intents, new integrations, and regression evals so quality holds at scale.
Delivery scope
The work that makes a voice agent operational.
Your engineer works across the full call path, from the first intent to the systems and controls behind it.
Workflow design
Turn messy call flows into deterministic agent logic with the right human handoffs in the right places.
Integrations
Custom tools and webhooks wired into your existing stack.
Knowledge bases
Ingest your docs, policies, and FAQs so agents answer from your source of truth.
Telephony
Inbound and outbound numbers, SIP trunking, and transfer logic configured for your carriers.
Evals & QA
Automated reply, tool, and simulation tests so you can ship changes without regressions.
Compliance setup
Recording controls, disclosures, and data handling configured for your regulatory surface.
Built for complex delivery
High call volume, deep integrations, and regulated workflows should not be a self-serve experiment.
Bring the use case. We will scope the path from the first production call to reliable scale.