Can you work with our existing tools (Salesforce, HubSpot, Slack, Zapier, etc.)?

Yes, that's the whole point. We build AI on top of your existing stack via APIs, webhooks, and native integrations. We don't ask you to replace your CRM or your help desk.

Do you build custom LLMs, or use OpenAI/Anthropic/Google models?

For 95% of use cases we use frontier models (GPT-4.x, Claude 4.x, Gemini 2.x) via API, they're better, faster, and cheaper than self-hosting. We fine-tune or use open-source models (Llama, Mistral) when there's a privacy, cost, or domain-specificity reason that justifies it.

How do you handle data privacy when AI is touching our internal data?

Multiple layers: (1) all major LLM providers offer enterprise contracts with no training on your data, (2) we use private inference endpoints for sensitive workloads, (3) we redact PII before sending to third-party models when possible, and (4) we can deploy fully on-prem or in your cloud account if needed.

How do you measure ROI on AI automation?

Before any build we instrument the current workflow to capture baseline metrics (time per task, error rate, cost). Post-launch we track the same metrics. Most automations we ship pay back in 3–6 months, we publish the methodology in our discovery doc.

How long does an AI integration project take?

A scoped pilot (one workflow, one team) takes 4–6 weeks. A multi-workflow rollout is 3–6 months. We always start with a pilot to prove ROI before scaling, so you're never committing to months of work without evidence it works.

AI Workflow Automation

What we automate

AI that fits your stack

01Deliverable

Customer support automation

AI agents that handle tier-1 tickets end-to-end, escalate intelligently, and reduce response times by 60–80% without hurting CSAT.

02Deliverable

Document & data processing

Extract, classify, and route information from invoices, contracts, claims, and forms, turning multi-day manual work into minutes.

03Deliverable

Sales & operations workflows

Lead qualification, CRM hygiene, meeting prep, and pipeline reporting on autopilot, all integrated with your existing stack.

Our approach

Pilot, prove, scale

Identify

We audit your workflows and identify the highest-leverage automations with the clearest ROI before writing any code.

Build & integrate

We integrate AI on top of your existing stack via APIs and webhooks, no rip-and-replace, no platform migration.

Measure & scale

We instrument before and after, prove ROI on the pilot, then expand to the next workflow with the data to back it.

What’s included in AI Workflow Automation

LLM Integration (GPT, Claude, Gemini)AI Customer Support AgentsDocument Processing & OCRSales Pipeline AutomationKnowledge Base & RAGCustom AI WorkflowsAPI & Webhook IntegrationsPrivacy-First AI Deployment

Triminage built a secure and user-friendly mobile app for our healthcare platform. They not only delivered on time but also made sure compliance and data privacy were fully covered. Working with them gave us complete peace of mind.

Dr. Ayesha Rahman

More ways in

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Industries

By industry

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IndustriesHealthcareHIPAA-grade engineering for clinical, payer, and digital health teams.IndustriesHospitalityBooking, guest experience, and operations tech for hotels and venues.IndustriesLegalCase management, document automation, and AI for law firms.IndustriesSMBsRight-sized software for small and mid-sized businesses.

Locations

By market

View all

LocationsUSHIPAA, SOC 2, and state-privacy-aware delivery for US software teams.LocationsUKUK GDPR, NHS DSPT, and ISO 27001-aligned delivery for British software teams.LocationsCAPIPEDA, PHIPA, and Law 25-aligned delivery for Canadian software teams.LocationsAUPrivacy Act, APP, and NDB-aligned delivery for Australian software teams.

For

By role

View all

ForFoundersGo from deck to demo without burning the round.ForNon-tech FoundersA technical co-founder, without giving up the cap table.ForEarly StartupsShip faster than the runway is burning.ForSmall BizSoftware that pays for itself in the first quarter.

FAQ's

Frequently Asked Questions

Can you work with our existing tools (Salesforce, HubSpot, Slack, Zapier, etc.)?: Yes, that's the whole point. We build AI on top of your existing stack via APIs, webhooks, and native integrations. We don't ask you to replace your CRM or your help desk.
Do you build custom LLMs, or use OpenAI/Anthropic/Google models?: For 95% of use cases we use frontier models (GPT-4.x, Claude 4.x, Gemini 2.x) via API, they're better, faster, and cheaper than self-hosting. We fine-tune or use open-source models (Llama, Mistral) when there's a privacy, cost, or domain-specificity reason that justifies it.
How do you handle data privacy when AI is touching our internal data?: Multiple layers: (1) all major LLM providers offer enterprise contracts with no training on your data, (2) we use private inference endpoints for sensitive workloads, (3) we redact PII before sending to third-party models when possible, and (4) we can deploy fully on-prem or in your cloud account if needed.
How do you measure ROI on AI automation?: Before any build we instrument the current workflow to capture baseline metrics (time per task, error rate, cost). Post-launch we track the same metrics. Most automations we ship pay back in 3–6 months, we publish the methodology in our discovery doc.
How long does an AI integration project take?: A scoped pilot (one workflow, one team) takes 4–6 weeks. A multi-workflow rollout is 3–6 months. We always start with a pilot to prove ROI before scaling, so you're never committing to months of work without evidence it works.

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AI Workflow Automation

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