Turning AI opportunities into operational software
We help companies identify, prototype, and implement AI-enabled software solutions — combining custom development, rapid prototyping, and in-house accelerators.
Workflows we typically work on
- Order, quote, and request processing
- Document-intensive workflows
- Service and support operations
- Approval and exception management
- Cross-system operational coordination
- Reporting and reconciliation
- Customer onboarding and case handling
We usually start where execution friction is high, the business case is clear, and there's a realistic path to production.
Trusted LLM ecosystem
The real problem details
Pilots stay pilots.
Teams test use cases. Almost none make it into daily operations.
Data and workflows are fragmented.
Knowledge sits in silos. Process logic lives in people's heads, not in systems you can audit.
Nobody owns what happens next.
Without metrics and operating routines, AI adoption stalls right after the first wins.
From diagnosis to production and operations.
Four stages, each with a concrete deliverable. Diagnosis, prioritization, implementation, then governance.
Diagnose
We map the operation end to end -- workflows, handoffs, bottlenecks, data dependencies, decision latency. We establish a baseline before suggesting anything.
Deliverable: operational diagnostic with bottleneck map and opportunity backlog.
Prioritize
We score each opportunity on business value, implementation effort, data readiness, and change complexity. Ideas become a ranked roadmap with clear ROI expectations.
Deliverable: prioritized roadmap with MVP sequence and expected impact per initiative.
Implement
We build production MVPs inside real workflows from day one. Depending on the use case, that means custom software, integrations, operational tooling, and AI agents working together.
Deliverable: production MVPs integrated with real workflows and connected to operational data.
Govern and Scale
We set up governance cadence, KPI tracking, and optimization routines. What works scales across teams and business units.
Deliverable: governance model with KPI ownership and a plan to scale what's working.
These are the in-house platforms we use to deliver custom AI systems faster, with less reinvention and fewer fragile handoffs.
Strategy and execution stay together.
The team that defines the roadmap also builds and runs the systems. No advisory decks without execution behind them.
Decisions are ROI-first.
Every initiative gets scored against measurable business outcomes before we commit resources to it.
Custom Software Development.
We do not just connect tools. We design and build the software, workflows, and execution layer required to make AI usable in production.
Governance is built in, not added later.
We track adoption, quality, and impact from day one. That's how results outlast the initial launch.
Arc inside
IATM
Arc is our AI orchestration product. Inside IATM, it's the execution layer -- the thing that turns strategy into running systems.
Agents, data flows, workflows, integrations, controls -- all configured for your operation. Not forced into rigid templates.
Opportunity Scoring
Rank initiatives by ROI, effort, and feasibility. Before building anything.
Operational Baseline
Map processes, data, and bottlenecks before touching anything.
MVP Delivery
Ship production MVPs connected to real workflows.
Architecture Layer
Integrations, channels, and orchestration -- one model for all of it.
Governance and KPI
Track adoption, quality, and business impact continuously.
Need a practical path to AI operations?
The 22-page AI Operations Playbook covers use case prioritization, governance setup, and the path from pilot to production.
Download the playbook
Software and product engineers. We combine strategy with hands-on delivery: custom software, production systems, internal tools, and the integrations required to make AI work in practice.
Our background includes 20+ years leading complex technology initiatives in the U.S. and Latin America, working with teams across startups, scale-ups, and large enterprises.
We are deeply focused on how AI can be applied in practical, reliable, and measurable ways inside real operations.
Have an operational workflow worth transforming?
If the use case is viable, we'll build a working prototype in 72 hours. No cost.