AI Process Automation & Integration | Bits In Glass
AI Process Automation & Integration

AI automation for the processes that run your business

We orchestrate work across your people, systems, and AI agents, all working from the same real-time data.

One workflow, from intake to audit

Every step, decision, and handoff runs in one governed flow, reading and writing the same live data.

Work happens
across
Your people
Your systems
AI agents
Runs as
one flow
Intake
Enrich
Decide
Act
Audit
On one data
foundation
Real-time integration: API-led and event-driven

Where we're usually brought in

Underwriting & quoting
Case management
Claims & exceptions
Approvals & SLAs
Document intake
Order & logistics
Customer onboarding
Compliance reporting
Service requests
Modernization

Orchestration, integration, and agents, designed as one system

Workflow Orchestration

One coordinated flow across systems, teams, and agents, with a full audit trail.

Integration & APIs

API-led, event-driven connectivity across cloud, on-premise, and legacy systems.

Agentic AI

Agents that decide and act as governed steps inside your process, not around it.

Modernize legacy systems
Connect cloud and on-premise
Build fully custom integrations

Engage us however you need, from strategy through scale

Projects & Programs

  • End-to-end Agile delivery
  • Aligned to business goals
  • Build through enhancement

Rapid Launch

  • Fast, focused launch
  • Delivers immediate value
  • Foundation to scale

Staff Augmentation

  • Experienced consultants
  • Meet critical deadlines
  • Short or long term

Architectural Advisory

  • Expert solution design
  • Aligned to your business
  • Future-ready architecture

Centers of Excellence

  • Build internal capability
  • Structured enablement
  • Lasting, scalable success

Managed Services

  • Ongoing support
  • Continuous optimization
  • Reliable performance

An agent is only as reliable as
the process and data around it

Without a workflow to run inside, current data to reason over, and rules to answer to, an agent is a demo. Automation and integration aren't two projects; they're two halves of one system.

The usual approach

Bolt AI onto what's already there

  • Agents deployed in silos, untethered from real workflows
  • Brittle point integrations, built one at a time
  • Decisions made on whatever data happens to be current
  • Impressive pilot, then it stalls
The BIG approach

Give AI a process to run inside

  • Agents as governed steps in an orchestrated flow
  • Integration designed in from day one, API- and event-led
  • Real-time data wherever a decision gets made
  • Every action traceable, and it scales

Where would automation accelerate your business?

A short discovery call is a good place to start looking at where the real gains are, and what it would take to get there.

Book a Discovery Call

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