AI & Generative AI
We design and build AI features that people actually use: assistants that answer from your own knowledge, agents that automate multi-step work, and copilots built into your products.
- Enterprise chat assistants & copilots
- Retrieval-augmented generation (RAG)
- AI agents & workflow automation
- Document understanding & extraction
- LLM fine-tuning & evaluation
- Responsible AI guardrails
PSS GenAI Studio
A ready-built platform for secure enterprise assistants. Connect your content, choose your model and go live inside your own cloud account.
Source connectors
SharePoint, Confluence, Google Drive, databases and file shares.
Guardrails
PII redaction, topic filters and document-level access control.
Quality dashboard
Track answer accuracy, citations, usage and cost per query.
Model-agnostic
Switch between hosted and open-source models without a rewrite.
- Deploys on
- AWS · Azure · GCP · on-prem
- Built with
- Python · FastAPI · React
- Typical pilot
- 4–6 weeks
Agents that do the work. People who make the calls.
We build AI agents that plan, act and check their own results across multi-step tasks. A core part of this practice is the AI-native software lifecycle: agents draft, build, test and monitor software, while your engineers approve every decision that needs human judgment.
The AI-native software lifecycle we set up for you
- 01intent.md
Plan
AgentTurns a rough idea into a short intent document: the problem, the outcome, affected systems and open questions.
HumanA product owner corrects and approves the intent.
- 02spec.md
Design
AgentExpands the intent into a full specification, applying your security, compliance and UX rules, and flags any conflicts.
HumanPolicy owners resolve conflicts and accept the spec.
- 03plan.md → code
Build
AgentStudies the codebase without changing it, writes an implementation plan, then codes against it in parallel workstreams.
HumanEngineers approve the plan before any code is written.
- 04tests · evals
Test
AgentChecks its own work with tests, builds and visual comparisons. Evals run in CI, and every incident becomes a regression test.
HumanEngineers define the pass conditions and lock the tests.
- 05reviewed PR
Deploy
AgentGives every pull request the same automated review and responds to reviewer comments.
HumanA named person authorises every production release.
- 06incident record
Maintain
AgentInvestigates monitoring alerts, finds the likely cause and proposes a fix or rollback.
HumanOn-call engineers triage and decide what happens next.
↺ Findings from Maintain go back into Plan as new intents, so the lifecycle runs as a continuous loop. Each stage ends with a versioned document that the next stage builds on.
Guardrails built in
- Separation of duties. The agent that writes the code can never approve it.
- Hard gates, not just guidance. Rules that must always hold are enforced by automated checks that block actions, such as edits to protected files or production deploys.
- Least privilege. Read-only access first, network allowlists, sandboxed execution and no access to credentials.
- Full audit trail. Every intent, spec, plan, code change and review is versioned, so you can always see who approved what.
How we roll it out
- STEP 1 · ASSISTAgents help at each stage on request, starting with low-risk, read-only tasks such as diagnosing a failed build.
- STEP 2 · CODIFYRepeated steps become reusable skills, commands and checks that capture your team's own standards.
- STEP 3 · AUTOMATEEach approved document triggers the next stage automatically, with your people reviewing at defined gates.
For every change we track a speed measure, such as time to an approved spec or plan, and a quality measure, such as rework and defects reaching production.
Business agents we build
Customer support agents
Resolve tickets end to end using your knowledge base and systems, and hand over to people when needed.
Document processing agents
Read invoices, claims and contracts, extract the data and route it for approval.
IT & operations agents
Triage alerts, run diagnostics and draft runbook actions for engineers to approve.
Sales & research agents
Gather account research and prepare briefings from your CRM and public sources.
Data & reporting agents
Answer questions over your data warehouse and produce recurring reports.
Software engineering agents
Plan, implement and verify changes in your repositories, inside the guardrails above.