ACCELAIRATE
ACCELAIRATE

Accelerate Your Automation

Design

Explore Use CasesSee REX

52% of employee time in knowledge & operations roles is spent on repetitive, low‑value tasks (recent multi‑industry study, 2024). Custom AI agents now let you reclaim that time with safe human‑in‑the‑loop automation.

Stop Burning Hours On Low‑Value Work

Manual triage, copy‑paste routines, status chases, inbox sorting, spreadsheet stitching… they drain focus, slow customer response and hide process bottlenecks.

We build automation pipelines + intelligent agents that interpret context, orchestrate actions, learn from feedback and escalate only edge cases.

•Email intent & auto‑draft reply
•Schedule / shift optimisation
•Invoice & contract extraction
•CRM / ERP data enrichment
•Ticket triage & escalation
•Meeting summarisation & tasks
•Inventory reorder suggestions
•Policy / knowledge Q&A agent

Typical Baseline

  • • Inbox triage consumes 1–2h / day
  • • Manual data entry & validation delays analytics
  • • Slow handoffs & untracked rework loops
  • • No feedback loop to improve processes
  • • Hard to quantify productivity leakage

AI Agent Operating Model

  • • Structured + unstructured inputs normalised
  • • LLM + tool orchestration executes tasks
  • • Human-in-the-loop for exceptions & training
  • • Continuous quality & drift monitoring
  • • KPIs tracked: latency, accuracy, reuse

Context‑Aware Automation Flow

[Trigger]
  Email | Ticket | API Event | File Drop | Schedule
      │
      ├─ Ingestion & Classification (LLM intent + entities)
      │
      ├─ Context Enrichment (CRM / ERP / Knowledge Base)
      │
      ├─ Decision & Orchestration (Policies / Guardrails)
      │
      ├─ Action Execution (RPA • API • Workflow Engine)
      │
      ├─ Draft Output / Auto Resolution / Escalation
      │
      └─ Feedback Loop (Quality metrics • Retraining • Audit)

Secure, observable, auditable — designed for incremental expansion.

Composable Automation & Agent Stack

We integrate modern orchestration & agent frameworks — combining workflow engines, function calling, retrieval and human oversight. Opinionated patterns let you scale from a single pilot to a portfolio of autonomous & semi‑autonomous agents.

  • •Event, schedule & API triggers with guardrails
  • •Retrieval augmented generation (RAG) for policy & product grounding
  • •Tool & function orchestration (CRM, ERP, ticketing, email, docs)
  • •Confidence & escalation thresholds (human-in-the-loop)
  • •Observability: latency, accuracy, intervention rate, reuse
n8n

n8n

Open workflow automation & node-based orchestration layer.

Dust

Dust

LLM application framework: retrieval, function calling & evaluation.

Zapier

Zapier

Connector & iPaaS layer for rapid SaaS integration coverage.

30–45d

Pilot cycle with production‑ready baseline patterns

-50%+

Manual workload reduction target in scoped domains

4–6×

Speedup in repetitive triage / extraction flows

Why Teams Choose Our Automation Approach

From first pilot to scaled agent ecosystem — governed, measurable and safe.

🧠

Context-Aware Agents

Custom LLM + tool stacks grounded in your data, policies & tone.

⚡

Pilot → Scale Playbook

30–45 day pilot, reusable patterns, rollout roadmap.

🛡️

Human-in-the-Loop

Guardrails, exception routing & continuous reinforcement.

🧩

Composable Stack

RPA, iPaaS, API orchestration & vector / retrieval layers.

REX: Mid‑Sized B2B Services SME

Objective: reduce manual admin drag & accelerate customer response without expanding headcount.

Scope

  • • Email intent classification & draft responses (customer enquiries)
  • • Invoice & PO extraction into ERP
  • • Automatic meeting summarisation + action sync to CRM
  • • Ticket triage & SLA escalation suggestions

Architecture Highlights

  • • Retrieval layer (vector DB) for product & policy grounding
  • • LLM orchestration + function calling for ERP & CRM actions
  • • Human review queue for flagged low‑confidence drafts
  • • Observability: latency, accuracy, drift dashboards

Outcomes (Month 5)

-50% manual admin hours / employee (12h → 6h / week)

5× faster initial email triage (4h → 45min median)

-66% quote prep cycle (3 days → 1 day)

+15 pts first‑pass extraction accuracy (82% → 97%)

4 month payback; annualised productivity +1.8 FTE eq.

KPI Reliability Notes

Ranges reflect typical SME baseline (50–250 staff). Productivity calculated from time logs + validated workload sampling. Accuracy measured against human‑verified labelled subset.

Launch A High‑Impact Automation Pilot

Pick one workflow. Deliver measurable uplift in 30–45 days. Expand with confidence. We bring the patterns, guardrails & acceleration toolkit.

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