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Strategy · Compliance · Production Reliability

Reliable Voice AI is a process.

Advisory,
Strategy &
Embedded Leadership

I work with mid-market and enterprise leaders who aren't sure if Voice AI is worth the bet. I find the highest-value use case, shape the strategy, design for compliance, and stay embedded through production, so what you ship actually holds up at scale.

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50M+

Calls / year in production

30-50%

OPEX cut

GDPR · HIPAA

Cleared deployments

What I can do for you.

Strategy & Scoping

Before you commit budget, pick a vendor, or build a team, we define the exact boundaries of your deployment. I help you identify where Voice AI actually drives ROI, what to ship first, and what use cases to avoid entirely.

Who it's for C-suite executives and operations leaders who require a pragmatic roadmap and a realistic economic model before authorizing budget or writing a line of code.

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System Optimization

If your live or piloted agent is failing on latency, accuracy, or cost, I tear down the pipeline to find the root cause. You get a clear, engineering-grade action plan on what to rebuild, what to patch, and how to hit your CSAT targets.

Who it's for Engineering and product teams struggling with hallucinations, audio degradation, or poor unit economics in production.

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Compliance & Architecture Audit

I map your data flows, consent architecture, and deployment venue to ensure regulatory alignment from day one. I design the technical infrastructure so that legal approval becomes a predictable milestone, not a blocker.

Who it's for Teams in highly regulated sectors (finance, healthcare, debt collection) where GDPR, HIPAA, or data residency must dictate system design.

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Embedded Advisory

Ongoing technical and operational leadership for teams building or running Voice AI at scale. I sit alongside your leadership to oversee observability and vendor management, or step in directly to architect, build, and eventually hand off a production-grade system to your internal team.

Who it's for Organizations operating or scaling toward 1M+ calls/year that need elite Voice AI expertise to build and scale safely, without the overhead of a full-time executive hire.

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Who I work with.

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Debt collection agencies

High outbound call volume, strict regulatory exposure, and relentless pressure on cost-per-contact. I've run Voice AI operations handling 50M+ calls a year in this space, so I know where compliance and reliability make or break the deployment.

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Banks & fintech

Regulated inbound call centers under constant OPEX pressure. My background in institutional finance and fintech (Kraken, State Street, Argent) means compliance pragmatism and production reliability come as the default, not as afterthoughts.

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Insurance

Claims intake, broker support, underwriting Q&A: repetitive, call-heavy work full of PII. I help carriers and brokers automate the right touchpoints without creating new audit exposure.

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Healthcare & telehealth

Scheduling, triage, intake, post-visit follow-up: high-value work burning expensive human time. I help teams deploy Voice AI with HIPAA discipline baked in from day one, not retrofitted after the first audit.

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Legal firms

Intake, conflict-check, and client follow-up eat associate hours that should go elsewhere. I help firms deploy Voice AI for qualification, routing, and scheduling, without compromising privilege or confidentiality.

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Hospitality

Front desks and reservation lines handle repetitive questions round the clock. I help operators deploy 24/7 Voice AI for bookings, common inquiries, and pre-arrival, so staff can focus on in-person service.

What clients say about my services.

"We'd put serious engineering into our voice agent and kept hitting a quality ceiling we couldn't break through. Piotr showed us the scope was just too broad for what LLMs can reliably do today. We decided to reframe the product as a focused 24/7 intake assistant, and we ended up with higher customer satisfaction at a fraction of the complexity."
LinkedIn open_in_new
"Our agent wasn't hitting the quality bar we needed. Piotr from Calloptima walked us through the architecture options with clear trade-offs, shaped a CSAT strategy that actually moved the numbers, and left us with a testing and iteration playbook we could run ourselves."
LinkedIn open_in_new

50M+ calls/year · 30-50% OPEX cut · CSAT held

"Ongoing embedded Voice AI leadership for a global debt-collection operation handling 50M+ calls a year. I cut call-handling OPEX by 30-50% while maintaining CSAT, with full observability, business continuity, and human-agent comparison in production."
Watch the breakdown on YouTube open_in_new
Piotr Żaczek

I'm Piotr Żaczek. I also record breakdowns of Voice AI architectures, cost optimization, and production reliability.

Why Calloptima?

I noticed that most enterprise Voice AI projects look great in a vendor demo, but fall apart in production. Teams struggle with latency, compliance blockers, and ROI models that don't hold up to reality.

I built Calloptima to solve this. Having run Voice AI operations handling 50M+ calls a year in highly regulated sectors (debt collection, institutional finance, fintech), I know what it takes to ship systems that actually work at scale.

I work alongside your team - whether as an advisor, architect, or embedded leader - to ensure your Voice AI deployment delivers real operational leverage without compromising CSAT or compliance.

What you walk away with

monitoring

Board-Ready ROI Models & Roadmaps

speed

Latency & Cost Teardowns

hub

Vendor-Agnostic Architecture

verified_user

Audit-Proof Compliance

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Production-Grade Reliability

engineering

Embedded Technical Leadership

FAQ.

Do you use Pipecat/Vapi/Retell/ElevenLabs/LiveKit, etc.? Which one do you recommend?
I match the framework to the client rather than the other way around. In practice it is usually LiveKit or Pipecat, since both are battle-tested open-source frameworks. I have run the hosted platforms too, and there are cases where they win on time to market. In the initial free consultation I go through your requirements and pick the best fit, drawing on everything I have run in production. I also made a video on how I choose based on business needs: watch on YouTube.
Do you build full pipelines? Could you help me with HIPAA/GDPR?
Yes to both: I build the pipelines, and I cover the technical side of compliance. I have built platforms actively handling hundreds of thousands of HIPAA-regulated calls a month, and I know the fastest, most reliable ways to cut time to market without giving up conversational quality, a fully auditable conversation path, or the observability and alerting that tell you about failures before your customers do. GDPR runs on the same architecture with its own controls; see Compliance & Architecture Audit.
How much do your services cost?
The cost of my services depends on many factors, including but not limited to: the service provided, estimated amount of work, calculated ROI, and the complexity of the work involved. I have saved $300k+ for my clients, and what worked best for them was to discuss a plan of action together, with cost and deliverables included.
Will it work in my case? I have custom needs I need to accommodate.
Great question! During the initial free consultation, we'll find the best way to work together. I haven't yet had a client with the exact same problem, and every single one of them was happy with my services.
Who do you help? What do you do?
I help mid-size and large companies that need help evaluating Voice AI, scaling it, cutting costs, and improving quality, performance, and reliability; the technical side of compliance (HIPAA, GDPR); upskilling teams; and hands-on help with project development.
What about data privacy and security?
With custom infrastructure, you have complete control over data handling. Host on your own cloud, implement your security policies, and meet compliance requirements (HIPAA, SOC 2, GDPR) without depending on a third-party platform's certifications.

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I read every message personally. Response within 1-2 business days.