AI systems & copilots

Launch responsible copilots with evaluation and governance built in

We pair product strategy, UX, data engineering, and risk management to deliver AI assistants that teams trust and customers rely on.

Evaluation coverage
120+

Scenario tests across bias, safety, regression, and hallucination checks.

Pilot to production
6 weeks

From discovery to governed rollout with guardrails in place.

Compliance readiness
SOC/GDPR

Documentation, DPIAs, and audit trails delivered for security review.

A delivery cadence tuned for responsible AI launches

Every phase blends product, data, and risk teams so copilots stay useful, safe, and continuously measured.

01Discovery workshops, risk modelling, data audit

Weeks 0–1 · Frame & assess

We align on responsible AI principles, success metrics, and data hygiene, identifying quick wins and high-risk scenarios.

  • Opportunity canvas capturing jobs-to-be-done, model fit, and human-in-the-loop requirements.
  • Risk register with escalation paths, fallback modes, and decision owners.
  • Data readiness review covering sourcing, retention, and governance obligations.
02Service design, prototype, retriever implementation

Weeks 1–4 · Co-design & build

Product flows, prompts, retrieval strategies, and UX come together with evaluation hooks and observability baked in.

  • Multilingual copilot journeys, UI states, and conversational scripts refined with end users.
  • Prompt libraries, tools, retrievers, and knowledge bases version-controlled from day one.
  • Evaluation harness integrating scenario tests, golden datasets, and telemetry pipelines.
03Pilot enablement, governance roll-out, enablement

Weeks 4–6 · Launch & govern

We pilot with real workloads, gather feedback, and roll out production-ready guardrails with shared ownership.

  • Human-in-the-loop workflows, escalation macros, and approval matrices codified.
  • Live dashboards tracking quality, deflection, bias, and incident response time.
  • Enablement playbooks, training, and change management toolkit handed to your teams.

Everything your AI experience needs to stay trusted

We deliver the artefacts product, operations, and compliance teams use to maintain momentum after launch.

AI strategy & risk canvas

Clarity on why the copilot exists, who it serves, and how it stays accountable.

  • Responsible AI charter with success metrics, risk tiers, and measurable outcomes.
  • Scenario library mapping golden paths, failure modes, and required safeguards.
  • Stakeholder alignment pack for leadership, legal, security, and frontline teams.

Copilot experience & system

UX, prompts, retrieval, and evaluation assets wired together inside your stack.

  • High-fidelity flows and UI states covering multi-modal interactions and edge cases.
  • Prompt libraries, tool definitions, retriever configuration, and knowledge base schema.
  • Evaluation harness with regression suites, bias monitoring, and telemetry instrumentation.

Governance & enablement kit

Operational muscle to monitor, escalate, and iterate safely after go-live.

  • Control matrices, audit logs, and DPIA artefacts ready for security review.
  • Training materials, playbooks, and Loom walkthroughs for product, CX, and ops teams.
  • Experiment backlog with impact estimates, guardrail tests, and rollout checklist.

Confidence backed by measurable proof

Every copilot engagement closes with quantitative signal and documented learning.

From prompt hygiene to human escalation, we make sure AI experiences are explainable, auditable, and continuously improved after launch.

Quality score
92/100

Evaluations across safety, accuracy, grounding, and sentiment for support copilots.

Ticket deflection
38%

Customer queries resolved by the copilot with human-on-standby guardrails.

Compliance greenlights
100%

Security, legal, and data protection reviews approved on first submission.

A cross-functional squad embedded in your environment

Work directly with AI product strategists, UX leads, data engineers, and governance partners.

AI product leadership

Craft north star metrics, opportunity roadmap, and success instrumentation with your leadership.

Full-stack AI engineering

Implement retrieval, tool orchestration, evaluation services, and observability in your stack.

Responsible AI facilitation

Run governance rituals, bias reviews, and human-in-the-loop onboarding with your teams.

Ready to ship a trusted copilot?

Bring your use case and data sources—our team will map the right blueprint within a week.

  • Kickoff availability within two weeks.
  • Evaluation harness delivered before production rollout.
  • Documentation and training keep your team in control post-launch.