Save time, increase accuracy & capacity.
Your site, inboxes, and forms become structured inputs. The automation understands intent, pulls the right details (names, dates, amounts, SKUs), and responds with a concise answer or next step, always grounded in your approved knowledge.
From there, it routes to action: book a calendar slot, create a support ticket, generate a draft quote, update a record, or hand off to a human with full context so no one repeats themselves.
Shrinking the path from question → action cuts handle time, reduces errors, and lifts conversion across every channel you already pay for.
Workflow Engineering
We begin by turning your business process into a precise, data-aware blueprint.
We document inputs and outputs, triggers (email, form, chat, file, API), decision points, data sources, and target systems. Then we normalize your approved knowledge and define entities the automation must extract (people, accounts, products, dates, amounts).
The baseline is a clean, source-linked index and a clear policy for what the automation can and cannot do.
Next, we wire up a secure execution layer that acts across your tools.
We connect your apps (calendars, CRM, ticketing, phone/SMS, storage) and enable secure tool calls for the actions you approve—create/update records, schedule, fetch availability, generate docs, send messages, and more.
Guardrails, rate limits, and retries keep execution safe and resilient.
When judgment matters, humans stay in the loop and in control.
Sensitive flows can require review before action.
We route edge cases to the right owner with the extracted facts attached, and we preserve full context across handoffs.
Approvals, escalations, and fallbacks ensure the automation helps your team instead of surprising it.
We create everything for visibility, accountability, and improvement.
Every response is traceable to sources and actions.
Dashboards show coverage, accuracy, SLA impact, and the business outcomes that matter—calls, bookings, qualified leads, resolved tickets.
We surface gaps, run A/B tests on prompts and CTAs, and keep a runbook for updates and QA.
Custom LLM Fine-Tuning
We have deep experience fine-tuning compact LLMs to understand coding rules, industry terms and acronyms, follow critical rules, map to fields, and return outputs that receiving systems accept on the first pass.
Fine-tuning works best when we have clean before→after examples and a clear target schema.
We help define your fields, allowed values, and policies, normalize raw inputs, and turn your best examples into high-quality training data with a proper hold-out set.
You get consistent, schema-correct outputs at speed, less cleanup and rework, faster cycle times, cleaner data, auditable decisions, and predictable costs.
Deployment fits your tech stack with real-time and batch paths, dashboards for accuracy and drift, and a retraining playbook so performance improves as new labeled examples arrive.
How we do it
We run a multi-agent pipeline. An ingestion agent gathers data from the channels you use (web, forms, chat, email, files, APIs). A document agent extracts text from PDFs, images, and Office files. A training-data agent profiles sources, maps scenarios, balances edge cases, de-identifies sensitive content, and builds JSONL datasets aligned to your schema and acceptance tests.
A teacher/evaluator agent guides the model toward schema-correct, policy-aware outputs during training. The fine-tuned model then produces structured JSON or drafts. A policy/validation agent enforces JSON Schema and business rules, and routes low-confidence cases to humans. Finally, an operations agent monitors accuracy, drift, latency, and tool-call success and supports safe version rollbacks.
Training data analysis and development
We categorize real scenarios, select the highest-quality examples, and define evaluation rubrics up front. We use curriculum learning to start with common patterns and add edge cases, distillation from a larger teacher to tighten structure and tone, and active learning to focus on the error types that matter to your operations.
Operational AI that Moves Work Forward
Custom AI automation turns scattered, manual steps into a reliable, observable flow—reading what comes in, deciding, executing, and capturing proof so context never gets lost.
Customers get clear, cited answers and a fast route to action (book, form, quote, or handoff). Behind the scenes, systems stay in sync and your team handles exceptions—not copy/paste.
It understands intent across email, forms, chat, and uploads; retrieves facts from approved sources; takes the next step in your tools; and logs each decision for audit and reporting.
Result: faster responses, higher conversion, lower handle time, cleaner data, stronger governance, and happier teams. It plugs into site search, chat, inboxes, forms, calendars, ticketing, CRM, and knowledge stores—turning every touchpoint into a short path from question → answer → action with full visibility.
- Automate repetitive, error-prone tasks
- Cut handle time and response SLAs
- Eliminate copy/paste between systems
- Trigger actions from AI-classified intent
- Keep data clean and synced to your CRM
- Track outcomes with audit-ready logs