AI assistants & copilots
Help employees find information, prepare summaries and complete repeatable tasks with defined sources and review steps.
AI development & automation
AI systems built for real work—not just impressive demos.
We help teams identify valuable AI use cases, connect models to trusted business data, and build dependable workflows around them—with accuracy, permissions and human oversight designed in from the start.
Useful leverage
Start with the work, not the technology.
We examine the searches, documents, decisions and hand-offs that consume time, then test whether deterministic automation, AI assistance or a bounded agent is the safest useful approach.
Private-data search & RAG
Retrieve from approved internal sources with permissions, citations, evaluation and data quality treated as product requirements.
Bounded AI agents
Let systems select among explicitly permitted tools while sensitive actions retain limits, audit trails and human approval.
Document processing
Extract, classify, validate and route information while deterministic checks protect the points where certainty matters.
Workflow automation
Connect AI with existing APIs and approval processes—or use simpler rules-based automation when it is more dependable.
AI readiness
Assess value, data, privacy, integrations, evaluation, hosting and operating cost before committing to production.
Decision framework
Six questions before we build.
- Is the task frequent and valuable enough to justify change?
- Can success and unacceptable failure be measured?
- Is the required source data current and permissioned?
- Should the workflow be deterministic, AI-assisted or agentic?
- Where must a person review, approve or override?
- Can quality and cost be monitored after release?
Responsible operation
Control remains visible.
- Data access follows purpose and user permissions.
- Sensitive actions can require explicit approval.
- Representative cases test retrieval, output and failure modes.
- Fallbacks cover low-confidence or unavailable outcomes.
- Model and hosting choices reflect data, latency and cost.
- Logs and retention follow an approved operating policy.
Production path
Evidence before autonomy.
We increase scope and authority only when evaluation and operational evidence justify it.
Frame
Map users, risks, measures and the current baseline.
Prepare
Establish authoritative data, access and evaluation cases.
Pilot
Test the smallest useful workflow and expose failure modes.
Operate
Integrate, observe, support and expand deliberately.
Frequently asked questions
Practical answers before an AI investment.
What is the difference between an AI agent and workflow automation?
Workflow automation follows predefined steps and is usually best when inputs and rules are stable. An agent can interpret less-structured situations and select among permitted actions, but requires stronger evaluation, limits and oversight. Many useful systems combine both.
Can an AI system use private company data?
Yes, if access, storage, provider terms, permissions and retention are designed for that data. Retrieval-augmented generation can use approved internal sources at request time, but it still needs data-quality and access controls.
Do we need to train our own model?
Usually not as the first step. Existing models, retrieval, tools, structured prompts and evaluation can support many products. Specialised training should follow measured limitations or operating requirements.
How do you reduce incorrect AI answers?
We narrow the task, ground outputs in approved sources, validate structured results, test representative cases and retain human review for consequential decisions. No responsible design promises that every probabilistic output will be correct.
What should an AI pilot prove?
A pilot should test a specific workflow against agreed measures such as task success, quality, escalation, latency, user effort and operating cost.
Plan the right approach
Have a workflow that might benefit from AI?
We’ll help determine whether rules, AI assistance or a bounded agent is the practical next step.
Discuss the opportunity