Business Systems Engineering

AI integrated into the workflows your teams already run.

We design AI integrations that connect to the tools, data, and business processes your teams already use — from docs and ticketing to CRM, ERP, and email — so work moves faster without forcing a stack rewrite.

Trigger
Webhook, email, or schedule
Gather Context
Pull data from CRM/Docs
Decide
AI evaluates & routes actions
Act
Draft, update, or alert based on the decision
Review
Human-in-the-loop approval
Log
Audit trail recorded in the system

Where AI Plugs Into the Business

We do not build AI in isolation. We connect it to the integration surfaces where work actually happens, moving data across your existing operational layers.

Communication Layer

Slack, Teams, Email

Intercepting requests and delivering alerts where teams already talk.

Knowledge Layer

SharePoint, Confluence, Drive

Extracting context and grounding decisions in company documentation.

Work Management

Jira, Linear, Asana

Creating tickets, updating statuses, and routing approvals.

Customer Systems

Salesforce, Zendesk, Intercom

Enriching records, drafting replies, and summarizing case histories.

Back-Office & ERP

SAP, NetSuite, Workday

Automating procurement checks, expense routing, and compliance logs.

Removing Friction at the Handoffs

The highest-value automations are usually not full end-to-end replacements. They are the specific steps where work gets delayed, duplicated, manually transferred, or inconsistently handled.

Intake and triage
Summarization and routing
Knowledge lookup and response drafting
Document extraction and enrichment
Case preparation
Approval routing and exception handling
Report generation
Follow-up and task creation
Workflow Automation Abstract

High-Value Use Cases by Function

Companies don't buy "automation"—they buy solutions to department bottlenecks. See how AI integration changes the operating reality for different teams.

The Friction Today

Agents spend 40% of their time reading past tickets, searching wikis, and writing repetitive summaries.

AI Integration

AI connects to Zendesk and Confluence. On new ticket creation, it reads the history, finds the policy, and drafts a private note with a proposed reply.

Operational Change

Agents move from 'researchers' to 'reviewers'.

Measurable Outcome

Resolution time drops by 60%; escalation routing accuracy hits 99%.

Scenario: Support Triage & Resolution

How operational friction is removed from a standard ticketing workflow.

1
Customer submits complex email ticket.
2
AI Integration Triggered
System auto-categorizes intent, retrieves exact policy from Confluence, and routes directly to Tier 2.
Instant
3
Human-in-the-Loop Review
Tier 2 agent opens ticket. A complete summary and a drafted response are already waiting. Agent reviews, edits, and sends.

How We Deliver Workflow Automation

1

Identify the Bottleneck

We don't automate everything. We find the specific handoff where work gets delayed or duplicated.

2

Map Systems & Approvals

We document the exact APIs, data sources, and human-in-the-loop checkpoints required.

3

Choose the AI Model

We select the right LLM and orchestration logic for the specific task's complexity and latency needs.

4

Integrate & Add Guardrails

We connect the systems and implement strict scoped permissions, fallback paths, and audit logging.

5

Measure & Iterate

We deploy to production, monitor workflow metrics (not just AI metrics), and optimize.

Built for Production, Not Demos

Workflow AI sounds good in theory but breaks in practice if not architected correctly. We build systems that are safe to deploy in enterprise environments.

  • Respects existing tool permissions and scoped access.
  • Includes human-in-the-loop approvals for critical actions.
  • Supports deterministic steps and hard-coded business rules.
  • Comprehensive monitoring, visibility, and auditability.
  • Handles API failures and exceptions gracefully.

Start With One Workflow

You do not need to automate the whole business to get value. Choose one high-friction workflow, prove the value quickly, and scale from a real operational success.

Cycle Time
Reduced
Manual Touches
Removed
Routing Errors
Eliminated
SLA Performance
Improved

We measure workflow outcomes, not just technical outputs.