Three ways we help.
We build AI systems, test them independently and help run them after launch. You can start with any one of the three. Every engagement begins with a short call and a written price range.
Start where it helps most.
A workflow that needs to reach production, a system that needs independent proof, or an agent that needs to stay accurate after launch. Each is a natural starting point, and each connects to the others.
Deploy
Mission Pods: a senior forward-deployed engineer and a delivery lead embedded in your team, with a first production release inside two weeks.
Assure
Independent evaluation, red-teaming and governance readiness, delivered by credentialed experts with findings that are ranked and reproducible.
Operate
Managed operations for live agents: accuracy, cost and exception monitoring with human escalation and monthly re-evaluation.
Start with one workflow, then grow.
We usually start with one workflow where the value is clear, build it properly across data, testing, safeguards and integration, and then help run it.
The forward-deployed engineer (FDE) is a senior AI engineer who works inside your team, your stack and your rituals. The model was popularized by Palantir and is now widely used by AI companies; we offer it as a service. The FDE builds; a delivery lead owns scope, stakeholders and milestone evidence. Progress is visible to you on a shared delivery dashboard throughout.
- Mission-scoped, with a written definition of done
- Milestones invoiced only when their evidence is met
- US and EU working-hours overlap, plus overnight progress
- Knowledge transfer and runbooks included as standard
Embedded FDE
One senior AI engineer, embedded full-time and shipping to production: LLM integrations, agents, retrieval, MCP servers and evaluation harnesses.
FDE Pod
An FDE and a delivery lead with one mission and a written exit. This is the unit that turns an AI investment into a workflow that runs every day.
Agent Launch Sprint
One production workflow end to end: built, integrated, tested against a written accuracy bar, released behind guardrails with a path to a human, and handed over with runbooks.
Data-Ready Engagement
The foundation that determines whether anything above it succeeds: sources connected, unstructured content prepared, retrieval built and tuned, and quality measured against a stated threshold.
AI Readiness Sprint · 2 weeks
Workflows and data assessed, opportunities ranked by value and feasibility, and an actionable mission brief at the end. The sprint fee is credited against any mission booked within sixty days.
Test every system before people rely on it.
Customers and regulators increasingly expect AI systems to be tested. The most useful testing comes from reviewers outside the team that built the system.
We write the accuracy bar with you, build domain test sets with credentialed experts, and deliver findings ranked by severity with full reproduction steps. Where we also built the system, we state that clearly at the top of the report.
Model & Agent Evaluation
A written accuracy bar, a domain evaluation set built with experts, and a clear report on where the system meets or misses it, in 20+ languages where needed.
Adversarial Red-Teaming
Specialists probe for prompt injection, data exfiltration, tool misuse and domain-specific harms. Findings are ranked with reproduction steps.
AI Act & Governance Readiness
System inventory, risk classification, evaluation evidence and logging, mapped to the EU AI Act, ISO/IEC 42001 and the NIST AI RMF, and assembled into a file your legal team can use.
Multilingual Evaluation
Native-speaker domain reviewers, per-language scorecards and a clear recommendation on where each language is ready to deploy.
After launch, the work continues.
Models are updated, prompts change and data drifts. Our operating support keeps systems accurate and keeps a current record of how they perform.
Continuous Assurance
Quarterly re-evaluation and adversarial testing against your evolving system, run by independent experts. Each cycle updates a record of results you can share with your team, customers or auditors.
- Quarterly evaluation and red-team cycles against the written bar
- Findings ranked, reproducible and approved by accountable reviewers
- Evidence pack maintained as a living document
Managed Agent Operations
Beyond uptime, we measure whether an agent is right: accuracy drift, cost per task, exception volume and tool-use failures, with a dedicated owner for your account.
- Accuracy, cost and exception monitoring with human escalation
- Monthly re-evaluation and model routing as economics change
- New automation scoped each quarter from operational insight
Monthly or quarterly cadence · dedicated owner · cancel at the end of any cycle.
Specialists, when you need them.
Good AI specialists are hard to find and hard to assess. We keep a focused network of people we have assessed ourselves, and a person always makes the final match.
Verified Expert Panels
Credentialed domain specialists assembled to evaluate AI output for model training, evaluation, preference data or acceptance testing. Credential-verified, paid at specialist rates and briefed to challenge the system.
Verified Technical Assessment
Assessment as a standalone service for candidates you have sourced yourself. A senior practitioner in the same discipline conducts an in-depth assessment and issues a competency report.
Embedded Experts
Vetted engineers, data and AI specialists working inside your team's rituals and tools. Matched in days, productive in the first week and scaled as your needs change.
AI & FDE Search
Specialist permanent search for AI engineers, forward-deployed engineers, ML platform and applied research hires, with an expert assessment for every finalist.
The network is deliberately small. Every member has been assessed by a senior practitioner in their field. For larger team builds, see QB Works.
All engagements at a glance.
Each engagement has a written scope, a typical length and an exit condition. You receive a written range on the first call, before committing to anything.
| Engagement | What you receive | Typical length |
|---|---|---|
| Practice 01 · Deploy | ||
| AI Readiness Sprint | Workflows and data assessed, opportunities ranked, and a mission brief ready to execute. | 2 weeks |
| Embedded FDE | A senior forward-deployed AI engineer, full-time inside your team and shipping to production. | Monthly · rolling |
| FDE Pod | An FDE and a delivery lead, mission-scoped with written exit criteria and milestone evidence. | 6–12 weeks per mission |
| Practice 02 · Assure | ||
| Model & Agent Evaluation | A custom domain evaluation set, an expert-reviewed run and a baseline report against a written bar. | 3–5 weeks |
| Adversarial Red-Teaming | Independent adversarial testing with severity-ranked, reproducible findings. | 3–6 weeks |
| Governance Readiness | Inventory, risk classification, evaluation evidence, logging and a documentation pack. | 4–8 weeks |
| Practice 03 · Operate | ||
| Continuous Assurance | Quarterly re-evaluation and red-teaming against an evolving system. | Rolling · quarterly |
| Managed Agent Operations | Monitoring, monthly re-evaluation, model routing and quarterly automation planning. | Rolling · monthly |
| Verified Expert Network | ||
| Verified Expert Panel | Credential-verified domain experts for training, evaluation or acceptance testing. | Per engagement |
| Verified Technical Assessment | An in-depth assessment led by a senior practitioner, with a written competency report. | 48 hours |
Agent Launch and Data-Ready work run inside missions; multilingual evaluation runs inside any assurance engagement. Readiness Sprint fees are credited against a mission booked within sixty days, and assessment fees against a placement. Third-party model and licence costs pass through at cost, itemized.
How an engagement runs.
Each step has an owner and a written criterion. The next step begins, and is invoiced, only when the previous criterion is met.
Working session
Thirty minutes on the system or role in question, and a price range before the call ends.
The bar, in writing
What good looks like, what failure looks like, who is qualified to judge, and the evidence required.
The right people
Experts sourced and verified, or engineers matched, each with an assessment report attached.
The work
Evaluation run, system built or role filled against the criterion agreed in week one, tracked on a shared dashboard.
Findings and handover
A complete report, including any limitations, plus runbooks and evidence packs ready for an auditor.
Re-test and operate
Quarterly re-evaluation, managed operations or a replacement guarantee, depending on the practice.
How we work.
Humans decide
AI handles volume: sourcing, screening, drafting and reconciling. People make the decisions, and every significant recommendation has an accountable reviewer.
Independence by design
Assurance is most valuable when the assessor is separate from the builder. Where we built a system, we disclose it at the top of the report.
Measured outcomes
We report what happened: candidates assessed, findings raised, runs completed. Business value is modeled only from assumptions you set.
Built to transfer
Our people work inside your tools and rituals, and knowledge transfers by default. Your team can run what we build.
Frequently asked
Do the three practices have to be purchased together?
No. You can start with any one of them. The practices reinforce each other: the network supplies the experts who run evaluations, evaluations show what is ready to deploy, and operations inform the next mission. Each practice stands on its own.
Can you red-team a system we built ourselves?
Yes, and that is the ideal case. Independence is where assurance creates its value, and we have no stake in the design decisions we are testing. If we did build the system, we disclose that at the top of the report.
How do you handle our data and our candidates' data?
Your tenant, your region, and a data processing agreement before work starts. Access follows least privilege and is reviewed at each stage, and evaluation data is returned or destroyed on a schedule you set. Where a workflow involves regulated data, we agree the handling model in writing first. Security documentation is shared with your team under NDA.
Who owns what we build and what you find?
You own the workflows, prompts, configuration, evaluation sets and reports. We retain our reusable tooling and methods. Exports are available on demand with no exit fee, and we will support any migration.
How is pricing structured?
Missions and assurance engagements are fixed-scope with a written range provided on the first call. Operating programmes run monthly or quarterly and can be cancelled at the end of any cycle. Milestones are invoiced only when their agreed evidence is met.
Which industries do you work with?
Our approach applies to any workflow with clear economics. We focus on talent and professional services, document-heavy operations and regulated workflows in financial services and healthcare, where independent assurance and expert judgment add the most value.
Bring the system you need to trust, or the role you need to fill.
A 30-minute call, followed by a written scope and price range.