WHAT DOES PERK DO?

It turns BIKY.ai into a stable, scalable operation: people executing commercial discipline, AI learning with method, and leadership with real visibility.

The Problem

When your operation depends on hiring, training, and retaining “unicorn” talent that knows how to work with AI, conversion becomes unstable and digital transformation stalls.

Consequences of operating without a specialized human layer (PERK) on top of AI:

  • High turnover that breaks follow-up and continuity.
  • Slow training that delays impact and burns out the team.
  • Process inconsistency: every sales rep operates differently.
  • Dirty data: weak tagging and funnels that “look good” but don’t close.
  • Underutilized platforms: you pay for software, but discipline is never implemented.

The BIKY Thesis

AI doesn’t scale on its own. It scales when there is operational discipline and continuous training on a living system. PERK installs that discipline on top of BIKY.ai, so funnels stop being linear and become continuous improvement loops.

How we solve the five core problems:

  • Difficult hiring: activate a role that’s ready to operate from day one.
  • Slow training: standardized playbooks, taxonomies, and routines.
  • Turnover: operational continuity through checklists, SLAs, and governance.
  • Costs: a dedicated remote layer focused on performance and traceability.
  • Unstable results: clear KPIs, scorecards, and measured experiments.

When funnel discipline exists every day, conversion goes up and leaks go down.

  • Fewer leads lost due to lack of follow-up.
  • Stable first-response SLAs.
  • Funnels with reliable data for leadership.
  • AI that improves every week not every quarter.
  • Real platform adoption, not “usage by obligation.”

FREQUENTLY ASKED QUESTIONS

No. PERK installs operational discipline and trains the AI so your human team can stop doing repetitive operational work and focus on closing, negotiation, and relationships.

A Remote Human KAM + a dedicated AI Trainer to operate BIKY.ai day to day and continuously calibrate the AI with playbooks, knowledge, and QA.

Knowledge curation, playbook refinement by intent, taxonomy standardization, weekly quality audits, and micro-experiments with impact reporting.

The baseline and stage-by-stage conversion are defined according to the client’s model (Lead to Contact, Lead to Appointment, Lead to Sale/Close, etc.). Results are reported weekly and reviewed monthly.

Once response and follow-up discipline are in place, early leaks are eliminated. The baseline is established within the first 7 to 14 days and improved through weekly optimization cycles.

PERK doesn’t compete with your team—it organizes it. It installs routines, standards, and AI training so the operation becomes consistent, measurable, and less dependent on turnover.