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NIKA

Artificial intelligence

ARTIFICIALINTELLIGENCE

Digital collaborators.Not tools.

AI agents that read, understand, analyse, act, verify and escalate — working around the clock inside your systems, with a human decision on everything that matters.

The working loop

READUNDERSTANDANALYSEACTVERIFYESCALATE

Every agent runs this loop. The last two steps are the difference between a script and a collaborator: results are checked against the brief, and anything unusual reaches a person.

24/7 · Human in the loop

Automate what can be. Validate what must be.

Agents work continuously; judgement is designed into the system rather than assumed. Consequential actions wait for explicit human approval, every decision is logged, and nothing bypasses the approval step silently.

The offer

From one agent to a workforce.

Deliberately simple formats. Each includes design, integration into your systems, evaluation against your own tasks, and handover to your team.

01

ONE AGENT

A single role, done properly — the fastest way to see what an agent changes in a working week.

02

TWO AGENTS

A pair that hands work to each other — research feeding sales, data feeding reporting.

04

FOUR AGENTS

A team around one function: intake, processing, verification, follow-up.

10

TEN AGENTS

A structured digital workforce across departments, under one supervision plane.

+

BESPOKE

Designed around your organisation — roles, tools and approval points defined with you.

Twelve examples

Roles, not chatbots.

Each agent is scoped to a role, given only the tools that role requires, and logged. Twelve examples — the twelfth is the one we design with you.

SALES AGENT

01

Qualifies inbound leads, drafts follow-ups in your voice and keeps the pipeline honest.

DATA AGENT

02

Answers questions against your databases and explains the query it used.

CUSTOMER SERVICE AGENT

03

Resolves first-line requests against your documentation and escalates cleanly.

MONITORING AGENT

04

Watches the markets, competitors and sources you choose, and reports what moved.

ADMINISTRATIVE AGENT

05

Prepares documents, follows up invoices and keeps recurring paperwork moving.

MARKETING AGENT

06

Drafts campaigns, adapts them per channel and measures what actually performed.

RECRUITMENT AGENT

07

Screens applications against your criteria and prepares structured interview notes.

REAL ESTATE AGENT

08

Tracks listings, qualifies enquiries and assembles complete files for viewings.

FINANCE AGENT

09

Reconciles, categorises and flags anomalies before they reach the accounts.

E-COMMERCE AGENT

10

Monitors orders, stock and reviews, and answers the questions that repeat.

RESEARCH AGENT

11

Runs structured research across lawful public and licensed sources, with citations attached.

CUSTOM AGENT

12

Designed around your process — the role we have not listed is the one we build most often.

Multi-agent systems

One system. Several roles.

Agents work as a chain, not a crowd: research feeds data, data feeds analysis, analysis feeds action — and everything ends in a report a person reads.

DEMONSTRATION · FICTIONAL DATA24/7
  1. RESEARCH14 sources scanned — 3 relevant items extractedOK
  2. DATACRM enriched — 3 records updated with citationsOK
  3. ANALYSISScoring computed — 2 accounts prioritisedOK
  4. SALESFollow-up draft prepared for reviewAWAITING APPROVAL
  5. REPORTINGDaily summary compiled and filedOK
  6. SYSTEMUnusual pattern flagged to the operatorESCALATED

Integrations

Where your work already happens.

Agents plug into the systems you already use — nothing is replaced to make the AI fit.

  • CRM
  • EMAIL
  • WHATSAPP
  • SLACK
  • NOTION
  • MICROSOFT 365
  • GOOGLE WORKSPACE
  • ERP
  • API

Private & local AI

Cloud, local, or hybrid.

Where confidentiality, latency or regulation requires it, your AI can run on your own premises — on workstation-class systems such as NVIDIA DGX Spark or AMD Ryzen AI hardware, or on dedicated private capacity with a hosting partner. The choice follows the workload and the constraints, never the brochure.

WE BUILD THE WHOLE.

  • 01Cloud — hosted models under contract, for speed and scale
  • 02Local — models on your own hardware; data never leaves the building
  • 03Hybrid — sensitive workloads local, the rest in the cloud
  • 04Model selection and evaluation against your own tasks
  • 05Data governance, retention and access boundaries
  • 06Operational handover to your team

Notes from the practice

Occasional writing.

  • 2026CAPITAL

    The data room is the pitch

    By the time an investor opens the folder, the narrative has already been tested against the numbers. Most rounds are lost in that gap.

    01
  • 2026QUANTUM

    Start with the inventory

    Post-quantum migration is not a cryptography problem first. It is an asset-register problem, and almost nobody has the register.

    02
  • 2026AI

    Inside the perimeter

    The question is rarely which model. It is which data leaves the building, under which contract, and who can prove it later.

    03

The first pieces are being prepared. In the meantime, the fastest way to read our thinking is a conversation.

Build today.Shape tomorrow.

Every engagement begins the same way — with a conversation about what is actually at stake.

Start a conversationSubmit a project
Artificial intelligence — NIKA HOLDING