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Artificial Intelligence

One AI practice. Production, operators and implementation.

AI-native video production, digital employees that own a function end to end, and AI implemented across every business function — under one team, one brief and one measurement standard.

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Artificial Intelligence — Abstract portrait of an AI operator surrounded by live data panels

The short answer

Kivashe's AI practice covers three things most agencies sell separately: AI video production (ad films, avatars and multilingual localisation generated under human direction), AI employees (digital operators connected to your CRM, inbox and ad accounts that run sales, enquiry response, content or reporting), and AI for business (audit, pilot and implementation of AI across marketing, sales, operations, finance, content and support). One engagement, one accountable team, impact reported monthly.

What we deliver

AI Video Production

Ad films, product videos and brand content generated with AI and directed by people — without actor fees, sets, locations or reshoots. Cameras still come out for the moments that must be provably real.

  • AI ad films, product and explainer videos
  • AI avatars and digital presenters
  • Multilingual dubbing and lip-sync from one master
  • Always-on social variants at 10x the volume
  • Human script, storyboard, grade and sound

AI Employees & Agents

Digital operators scoped like roles, not features — connected to your systems, trained on your SOPs, reviewed by a human, working every hour of the day.

  • Sales and outbound operators
  • Enquiry and concierge operators with sub-minute response
  • Content and marketing operators in your brand voice
  • Analyst and reporting operators with plain-English briefs
  • Escalation rules, audit logs and a human quality bar

AI for Business

The implementation layer: we find where hours and revenue leak, pilot the highest-return use cases, build them into your existing stack and train your team to run them.

  • Marketing: enrichment, content, personalised outreach
  • Sales: lead scoring, proposals, CRM automation
  • Operations: SOPs, document processing, workflow automation
  • Finance: invoicing, reporting, forecasting support
  • Support: instant response, triage, 24/7 concierge

Governance, training and ownership

AI only compounds when it is safe to run and owned in-house. Every deployment ships with guardrails and a handover plan.

  • Enterprise endpoints, no training on your data
  • Scoped credentials, permissions and audit trails
  • Team enablement so the capability stays with you
  • Monthly impact reporting — hours, cost and revenue
From audit to first live deployment
Weeks From audit to first live deployment
Lower cost per asset and per role
70% Lower cost per asset and per role
Coverage, including weekends
24/7 Coverage, including weekends
Measured impact reporting
Monthly Measured impact reporting

How it runs

  1. Audit

    We map where your team loses hours and where revenue leaks, then score every AI use case by return and effort.

  2. Design

    Scope, tools, decision limits and quality bar written down — whether the output is a film, an operator or an automation.

  3. Build

    Systems connected, knowledge bases loaded, visual language locked, first assets and workflows produced.

  4. Supervised rollout

    Humans review every output in the first weeks. Corrections feed straight back into the system.

  5. Run & improve

    We own uptime, quality and monthly upgrades as your business — and the models — move.

FAQ

Questions people actually ask

Three connected capabilities: AI video production, AI employees and agents, and AI implementation across your business functions. They used to be three separate pages; they are one practice because most clients need more than one and they work better designed together.

A configured AI operator that owns a defined business function end to end — connected to your CRM, inbox and ad accounts, following your SOPs, and producing reviewable work. It is scoped like a role, not like a chatbot feature.

Actor fees, sets, locations and reshoots disappear; a script change becomes a re-render rather than a shoot day. We still put a camera on founders, customers and product where the footage has to be provably real, then extend it with generated scenes.

Where manual cost is highest and risk is lowest — usually enquiry response, content production or reporting. We audit your functions, score use cases by return and effort, and prove one or two before scaling.

No. Almost everything we implement sits on top of the CRM, inbox, spreadsheets and ad platforms you already run.

Deployments run on enterprise model endpoints with no training on your data, scoped API credentials and audit logs on every action. Access is limited to the systems the work genuinely needs.

First deployments are usually live in supervised mode within two to four weeks. Engagements combine a fixed build fee with a monthly run fee, and typically land well below the fully loaded cost of the equivalent hires or shoots.

Before you spend more, let's find out what's actually broken.

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