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Autonomous Business Agents

Hire software that behaves like staff, not another dashboard nobody opens.

Retail & D2CDistributionManufacturingHospitalityHealthcare clinics
Autonomous Business AgentsAI Agents

30–45%

Less manual ops time

18%

Average stockout reduction

Content output per month

24/7

Reply coverage

Overview

What this system does

Most businesses do not lose money because they lack data — they lose it because nobody acts on the data fast enough. HashLyte agents close that gap. Each agent owns a job description, a set of tools, a memory of past decisions and a clear boundary for when it must ask a human.

An inventory agent watches stock velocity, supplier lead times and seasonality, then raises purchase orders before a shelf goes empty. A marketing agent studies which creatives converted, writes the next batch, schedules them across channels and reports what actually moved revenue. They run continuously, log every action and hand off cleanly when judgement is required.

  • Inventory & reorder automation
  • Social + marketing autopilot
  • Human-grade escalation rules
The problem

Why teams call us

Stockouts and dead stock

Manual reordering reacts too late and over-buys the wrong SKUs, freezing working capital on shelves.

Marketing that stalls

Content calendars slip, replies go unanswered for days and campaign reporting arrives after the budget is already spent.

Knowledge in one person's head

When the person who 'just knows' the process leaves, the process leaves with them.

Capabilities

Everything included in Autonomous Business Agents

Inventory intelligence

Demand forecasting per SKU, reorder point tuning, supplier scorecards and automatic purchase drafts with approval thresholds.

Social media operations

Content generation on brand voice, scheduling, comment and DM triage, sentiment tracking and escalation of anything sensitive.

Sales and CRM follow-up

Lead qualification, personalised follow-up sequences and pipeline hygiene written straight back into your CRM.

Reporting that explains itself

Weekly narrative reports covering what the agent did, why it did it and what it recommends next.

Guardrails and approvals

Spend caps, tone rules, blocked topics and a human-in-the-loop queue for every irreversible action.

Tool integrations

ERP, POS, Shopify, WhatsApp Business, Meta, LinkedIn, Google Ads, email and internal APIs.

Workflow

How a deployment runs

  1. 01

    Job description

    We write the agent's scope, KPIs, tools and escalation rules exactly like onboarding a new hire.

  2. 02

    Connect systems

    Read-only access first — inventory, sales, ad and social accounts are wired into the agent's tool belt.

  3. 03

    Shadow run

    The agent proposes actions for two to four weeks while your team approves or rejects, teaching it your judgement.

  4. 04

    Go autonomous

    Approved action types run unattended within spend and tone limits; everything else keeps landing in the review queue.

  5. 05

    Review & expand

    Monthly performance reviews widen the agent's authority where results justify it.

Specifications

Technical detail

Response latency
< 4 s per action
Operating hours
24 / 7 / 365
Audit trail
Every action logged with reasoning
Deployment
Cloud or private VPC
Stack

Built with

LLM orchestrationVector memoryEvent queuesREST & webhooksPostgres
FAQ

Questions we get asked

Will it replace my team?+

No. It removes the repetitive 60% so your team spends time on customers, negotiation and strategy. Every irreversible action still passes a human rule you define.

What if it makes a bad decision?+

Spend caps, approval thresholds and full action logs mean bad decisions are bounded, visible and reversible.

How long until it is live?+

A single agent typically runs its shadow phase in three to four weeks and goes autonomous within six to eight.

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