AI automation
that ships.
We design and build production AI agents and custom business applications—integrated with your systems and built for reliability.
What we build
with AI
Intake & Triage
For email, forms, chat, and documents.
Extraction
From PDFs, attachments, and freeform text into validated fields.
Classification & Routing
With confidence thresholds and fallbacks.
Drafting
For responses, summaries, proposals, and internal notes (human-approved).
Decision Support
Recommends next steps using context from your systems.
Internal Tools
Make the automation visible, controllable, and auditable.
The outcomes
Faster response times without hiring
Less manual copy/paste and fewer handoff failures
More consistent service quality and documentation
Cleaner data in CRMs and core systems
Clearer prioritization: what needs attention today, and why
High-ROI applications
Proven use cases where AI meaningfully reduces manual work.
Customer-facing
Inbound messages → AI summary + intent + required fields → routed ticket + suggested reply
AI-first knowledge assistant for policies/SOPs, with links back to sources
Appointment scheduling and pre-qualification with context capture
Sales
Lead enrichment and scoring using public signals + internal criteria
AI-generated first drafts for outreach, follow-ups, and proposals (review before send)
Meeting/call notes → structured CRM updates + tasks + next steps
Ops & Service
Document intake (applications, invoices, forms) → extracted fields + validation → workflow routing
Case/ticket “copilot” that pulls history, highlights missing info, and suggests resolution steps
SLA and exception monitoring with AI summaries of what’s blocked and what to do next
Finance & Admin
Invoice processing: extract, validate against rules, route for approval, post to accounting
Purchase requests and approvals with AI summaries and policy checks
Collections follow-ups drafted from account context (human-approved)
Compliance & Recordkeeping
Standardized notes and summaries generated from activity, with required fields enforced
Traceable logs of actions taken, prompts/outputs captured when needed
Pre-submit checks: flag missing info before a record progresses
Reporting & Intelligence
Daily “what changed” brief: pipeline, exceptions, risks, and required actions
Auto-generated rollups from multiple systems with links to underlying records
Trend detection on ticket categories, reasons, churn signals, and common blockers
Great service, promises kept. I am very pleased with the product and the urgency in completing. They are great!
How we apply AI
So it works in production
AI is best used to produce drafts and structured decisions, not silent final actions.
- Human-in-the-loop where it matters (approvals for sensitive actions)
- Structured outputs (schemas) instead of freeform text
- Confidence thresholds with deterministic fallbacks
- Retrieval with citations when referencing internal knowledge
- Guardrails (validation rules, rate limits, safe tool access)
- Observability (logs, metrics, alerts, replayable runs)
Delivery approach
Pick the highest-ROI workflow
We map the process, define success metrics, and identify where AI meaningfully reduces work.
Build a working pilot
Real integrations, real data, measurable output. No slideware.
Harden and deploy
Retries, idempotency, monitoring, access controls, documentation, and handoff.
Iterate
We improve accuracy, expand coverage, and add automations once the first one is stable.
Why teams hire us
Custom apps, beyond automation glue.
We build full-stack internal and customer-facing software around AI.
Reliable systems, not demos.
Monitoring, fallbacks, and maintainability are built in.
11 years shipping software.
Experienced implementation and pragmatic scope control.
Integrated with your tools.
We meet you where you are and make AI actually usable.
FAQs
What’s a good first AI automation to start with?
Usually an intake + triage workflow: it touches real volume, produces measurable outcomes fast, and creates clean structured data you can reuse elsewhere.
Can this work with sensitive data?
Yes, with the right architecture. We design clear data boundaries, access controls, and retention policies.
Do we need perfect data first?
No. Many engagements start by using AI + rules to clean and standardize inputs as the workflow runs.
How long does the first build take?
Most first deployments land in weeks, not months: a fast pilot followed by production hardening once it’s proving value.
Ready to ship?
Share the workflow or product idea. We’ll propose the fastest production-ready path.