Built for companies past the basics
Our AI work assumes a foundation is already in place: your processes run on software, your data lives in systems you can access, and your teams are comfortable with digital tools.
From there, the question is no longer "should we use AI?" but "where exactly, how safely, and how do we keep it working?" That is the problem we solve.
Five capabilities, one architecture
Workflow automation
Agents and pipelines that take over repetitive, rules-heavy steps — while routing edge cases to a person.
- Email, ticket and document triage
- Data extraction and entry
- Multi-step approvals with human checkpoints
- Scheduled and event-driven jobs
Knowledge base & RAG
Retrieval-augmented search and Q&A over your documents, wikis, tickets and databases.
- Connectors to the systems you already use
- Answers with cited sources
- Permission-aware retrieval
- Freshness and quality monitoring
AI support & internal assistants
Customer-facing agents and internal copilots grounded in your products, policies and processes.
- Website and in-app support agents
- Escalation to human agents with context
- Internal helpdesk and onboarding assistants
- Tone, scope and safety guardrails
Data & reporting intelligence
Plain-language questions over your data, automated recurring reports and narrative summaries.
- Natural-language querying with guardrails
- Automated weekly and monthly reporting
- Anomaly and change explanations
- Dashboards your team actually reads
Team AI enablement
Practical training so people across the company use AI well — and safely.
- Role-based workshops
- Prompt and workflow playbooks
- Usage policies and guidelines
- Champions program support
An agent workflow, end to end
A typical automation combines a trigger, retrieval from your knowledge, a model that reasons over it, tools that take action, and a review step for anything uncertain. Every run is logged and evaluated, so you can see exactly what happened and why.
- Human review for low-confidence or high-impact actions
- Every step logged for audit and evaluation
- Models swappable without rewriting the workflow
Grounded, measured, accountable
Answers come from your sources, respect who is asking, and are scored before and after launch.
$ run eval --suite support-faq --model currentloading test set (curated by your team)…checking: groundedness · citation · tone · refusal✓ answers cite an approved source✓ out-of-scope questions are declined! 3 answers flagged for human reviewreport written → evals/2026-11-05.html
What good looks like
Less busywork
Repetitive steps move to automation, so people spend their time on judgement, relationships and exceptions.
Faster answers
Employees and customers find the right information in seconds, with a source they can check.
Clear visibility
Every automated decision is logged and measurable, so you know what AI is doing and what it costs.
Lasting capability
Your team understands the system, can improve it and is not locked into us.
We integrate, not replace
We connect to the tools you already run. A few we commonly work with:
Names are listed for reference only and do not imply partnership or endorsement.
Not sure where to start?
A Readiness Assessment gives you a ranked list of opportunities, risks and a realistic plan — before you commit to a build.