PunaTech
ESPrefer writing? Send a short noteMap the bottleneck in 15 min

Focused capability · Process automation · AI-assisted workflows

Automate the handoffs that slow your operation down.

We design controlled process automation and AI-assisted workflows that classify, enrich, validate, and route operational information across your existing stack—without removing human control where it matters.

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Reference architecture

The operating problem

Signals this service may be useful.

  • Teams copying information between systems
  • Unstructured documents blocking downstream work
  • AI prototypes with no validation or ownership model
  • Manual handoffs that grow faster than headcount

Who this is for / when to hire

Hire process automation when repetitive handoffs, document triage, lead routing, or CRM updates are eating operator time—and off-the-shelf iPaaS hits ceiling on logic, volume, or control. Fit: B2B teams that need deterministic orchestration (often n8n-class or custom) with validation and human review, not a demo chatbot.

What we build

  • Process automation across forms, docs, CRM, and internal tools
  • Classification / enrichment / routing with structured outputs
  • Human-in-the-loop gates for consequential actions
  • Observability: logs, retries, and clear failure states

We do not sell “AI for everything.” We map the bottleneck, decide what should be deterministic vs model-assisted, and ship a workflow ops can own.

How engagement works

Discover the handoffs → design the smallest reliable path → build with validation and review gates → launch with runbooks. Scope stays tied to one operational outcome first.

What you receive

A workflow your team can monitor, override, and improve—instead of another opaque chatbot or brittle Zapier-style chain.

  • 01

    Workflow and risk map

  • 02

    Production integrations and validation rules

  • 03

    Observability, handoff, and operating documentation

  • 04

    Human-approval points for consequential actions

Proof from related work

Proof from related work

Client names can stay private. Outcomes and architecture stay concrete. Lab demos are labeled as such.

Client delivery

LinkedIn Copilot Guard

LinkedIn Copilot Guard — AI sales copilot with human-in-the-loop guard

Read the case study

Client delivery

GTM Operations System

GTM Operations System — controlled pipeline from research to outreach

Read the case study

Client delivery

Inbound Revenue Switch

Inbound Revenue Switch — multi-channel inbound router with CRM sync

Read the case study

Lab demo

Autopost Studio

Autopost Studio — omnichannel content with strict human approval (Lab)

Read the case study

Related work

GTM Operations System

A controlled data pipeline from prospect research to outreach.

An orchestrated workflow that connects lead sourcing, enrichment, storage, CRM updates, and multichannel campaign tools.

Read the case study

Confidential client engagement

  1. When to use AI—and when deterministic software is the better choice

FAQ

FAQ

Is this “AI automation” or process automation?

Both when useful. Most value is reliable process automation; AI assists classification or drafting only where structured validation and human oversight make it safe.

Will this replace my team?

No. We remove repetitive handoffs so people keep judgment on consequential steps.

How do you handle AI risk?

Structured outputs, validation, permissions, logging, and human approval for consequential actions—tuned to the workflow.

Can we start small?

Yes. One bottleneck, one measurable path to production, then expand.

Do you work with HubSpot / n8n-style stacks?

Yes when they fit the operation. We have shipped client systems around CRM sync, routing, and orchestration; stack choice follows the bottleneck, not a vendor pitch.

A useful first conversation

In 15 minutes, we map the constraint and decide the useful next step.

Process automation, AI-assisted workflow—or no build at all.

Map the bottleneck in 15 minPrefer writing? Send a short note