Knowledge assistants
Help teams find answers in approved sources, with references, access boundaries, and a route to human support.
AI agents & workflow automation
Useful AI.
Built into the way you work.
Connect information, decisions, and action with custom AI agents, automation, and business applications. Start with a defined workflow, then choose the technology that fits.
Discuss your workflow ↗What we can design and build
Each solution begins with requirements, data access, integration feasibility, and agreed acceptance criteria. These are illustrative capabilities, not claims of completed client projects.
Document workflows
Extract agreed fields, check completeness, identify exceptions, and prepare information for review.
Research agents
Collect information from permitted sources, organize evidence, and draft structured analysis for human evaluation.
Customer operations
Support intake, onboarding, service triage, follow-up preparation, and handoffs across teams.
Reporting & internal tools
Connect data, automate routine preparation, and build dashboards or applications around operating decisions.
Product workflows
Prototype and implement AI-enabled features with clear requirements, evaluation, and delivery ownership.
Illustrative architecture
Controls are part of the design.
Approved inputValidation & permissionsAI or rule-based processingHuman reviewApproved system update
An agent should have a defined job, bounded permissions, and a clear stop condition. We design how it uses tools, handles uncertainty, records actions, and routes exceptions.
Not every task needs an agent. Rules are often preferable for predictable transformations. AI can help interpret unstructured information where its output can be evaluated.
From prototype to daily use.
Define and evaluate
Agree the intended outcome, representative test cases, quality thresholds, and failure behavior. Compare the proposed design with simpler alternatives.
Integrate and implement
Connect agreed systems, test permissions and exceptions, document the workflow, train users, and establish operational ownership.
Monitor and improve
Define how usage, quality, operating cost, and incidents will be reviewed. Support responsibilities and ongoing work are agreed in the scope.
Implementation engagements start at $20,000. Final scope depends on integrations, data readiness, complexity, evaluation, and rollout. If the business case is unclear, begin with an AI Opportunity Assessment.
Can we keep our existing software?
We assess current systems and integration options first. Access, vendor limits, contracts, and data quality determine what is feasible.
Can AI make decisions without review?
Autonomy depends on the task and consequences. Approval rules, escalation paths, and allowed actions are agreed before deployment. High-impact decisions require appropriate human oversight.
What if the workflow itself is the problem?
Start with business process redesign. Automating unnecessary work can make the wrong process run faster.
Start with the business problem
Tell us what you want to improve.
You do not need a technical brief. Bring the workflow, the bottleneck, or the idea. We will discuss a practical next step.
Discuss your workflow ↗