Fastcurve — AI-Enabled Product Engineering Partner
Cloud · Contact Center

Cloud Contact Center Implementation on AWS Connect with Voice ID

Soflo

Soflo is a cloud-native contact center built on AWS Connect — covering IVR design, intelligent routing, agent workflows, Voice ID and integrated payment workflows for customer-facing operations.

AWS
Connect
Voice ID
Enabled
Payments
Integrated
Cloud Contact Center Implementation on AWS Connect with Voice ID
Engagement Snapshot
Industry
Communication, Media & Technology
Engagement Model
Outcome-led product engineering engagement
Services Engaged
2
Capabilities
5
The Challenge

Why this work mattered

Soflo needed a production-grade cloud capability engineered for scale, reliability and long-term evolution — not a prototype. The platform had to operate inside real communication, media & technology workflows and meet enterprise expectations on architecture, integrations, security and operational maturity.

Fastcurve's Response

How we engaged

Fastcurve embedded a senior-led engineering team across aws cloud services, api & system integrations and adjacent disciplines, owning architecture, build, integrations and ongoing operations — moving in production-grade increments rather than waterfall handoffs.

Headline Impact

What changed in production

AWSConnect

Beyond metrics — a platform now operating at enterprise grade with a stable engineering owner, predictable delivery and a clear modernization roadmap.

Delivery Approach

An engineering-led delivery model — not a hand-off.

Every Fastcurve engagement runs on a consistent delivery spine: discover, lay the platform, ship in increments, then operate and scale.

  1. Phase 01
    Discovery & Architecture

    Domain deep-dive, current-state assessment, architecture blueprint, success metrics and delivery cadence locked in with stakeholders.

  2. Phase 02
    Foundation & Platform

    Reference architecture, environments, CI/CD, observability, security baselines and core platform services stood up before feature work.

  3. Phase 03
    Iterative Build & Integrate

    Modular delivery in short cycles — feature engineering, third-party integrations, AI workflows and migrations shipped in production-grade increments.

  4. Phase 04
    Operate, Optimize & Scale

    SRE practices, performance tuning, cost optimization, continuous modernization and ongoing capability expansion as the product matures.

Outcomes

What this implementation delivered

  • Cloud-native contact center on AWS
  • Voice ID-based authentication flows
  • Embedded payment workflows
Engineering Highlights

How Fastcurve built it

  • AWS Connect
  • IVR + routing
  • Voice ID
Capability Coverage

Engineered across the full stack of communication, media & technology platform needs.

Fastcurve owned the architecture and engineering surface across every capability listed — not isolated modules.

Capabilities Engineered
  • AWS Connect
  • IVR
  • Routing
  • Voice ID
  • Payments Integration
Services Engaged
  • AWS Cloud Services
  • API & System Integrations
Enterprise Confidence

Why Fastcurve was chosen — and stayed embedded.

Engineering Ownership

Senior architects own the platform — not a pool of fungible engineers.

Production-grade Delivery

Every increment ships with CI/CD, observability, security and rollback discipline.

Embedded Partnership

Long-running pods that operate as a stable extension of the customer's engineering org.

Operational Maturity

Reliability, performance and cost engineered in from day one — not bolted on later.

Industry
Communication, Media & Technology
Services
AWS Cloud ServicesAPI & System Integrations
Capabilities
AWS ConnectIVRRoutingVoice IDPayments Integration

Planning a similar platform, modernization or AI initiative?

Talk to Fastcurve about applying this implementation pattern to your roadmap.