Solutions for your team.
The same three services, organized by the work you want to improve. Start from a package, your role or your industry.
Three starting packages.
Building, testing and expert review combined around one workflow, scoped and priced together.
Talent-to-Bill
The business we run ourselves. Screening at volume with human approval, and placements that invoice the day a consultant starts.
- Screening and intake agent with human review
- Talent-to-bill workflow with same-day invoicing
- Expert screening panel on demand
Intake & Review Ops
High-volume document work where accuracy has real cost. AI drafts, qualified reviewers approve, and exceptions route to a person.
- Intake and triage agent with human review
- Credential-verified expert review loop
- Safety red-team before launch
Model-Risk & Compliance Ops
Regulated workflows, with the testing evidence your reviewers and auditors expect.
- Regulated workflow agent
- Model-risk evaluation pack
- Continuous assurance, quarterly
From first call to production.
Every package follows the same five stages, with a clear outcome agreed for each one.
Discover
A thirty-minute working session on your workflow, data and constraints.
Scope
A mission brief with a definition of done and an agreed accuracy bar.
Build
Forward-deployed engineers deliver inside your stack, with a first release in week two.
Assure
Independent evaluation and red-teaming by credentialed domain experts.
Operate
Monitoring of accuracy, cost and exceptions, with quarterly re-testing.
By role.
Where we usually start, depending on who is leading the work.
Back-office workflows in production
Intake, processing and exceptions moved into production one workflow at a time, then operated so they stay accurate long after launch.
Forward-deployed engineers beside your own
Integrations, retrieval and evaluation harnesses built alongside your team, with knowledge transfer included as standard.
Independent evidence for reviewers
Independent evaluation, red-teaming and clear documentation for your auditors or regulators, produced by people with no stake in the launch date.
Verified talent, faster
Specialist search with expert assessment, verified assessment of candidates you have sourced, expert panels on demand, and full teams through QB Works.
Common use cases.
Examples of workflows where a focused project can show value quickly.
| Workflow | What the AI does | Where people stay in the loop | Typical start |
|---|---|---|---|
| Document intake & triage | Classifies, extracts and routes incoming documents | Low-confidence items and exceptions go to a reviewer | Agent Launch Sprint |
| Candidate screening | Screens applications against a structured rubric | Every shortlist approved by a consultant | Talent-to-Bill |
| Contract & policy review | Flags clauses, gaps and deviations from standard | Qualified reviewers approve every finding | Intake & Review Ops |
| Customer support agents | Answers, resolves and escalates with full context | Escalation paths tested end to end | Evaluation + Agent Launch |
| Clinical & medical content | Drafts and summarizes clinical information | Domain experts review safety-relevant output | Model & Agent Evaluation |
| Finance operations | Reconciles, invoices and flags anomalies | Finance team approves adjustments | Data-Ready Engagement |
| Multilingual assistants | Serves customers across languages and markets | Native-speaker reviewers per language | Multilingual Evaluation |
By industry.
Our approach works across industries, for teams of every size. It adds the most value where mistakes are costly.
Talent & professional services
Talent-to-bill, screening at volume and live engagement margin.
Financial services
Model risk, agent testing and regulated document workflows.
Healthcare & life sciences
Clinical content, safety evaluation and expert review.
AI product companies
FDE capacity, expert panels and independent evaluations.
Included in every engagement.
Whichever solution you choose, these are part of how we work.
Written scope
A definition of done and an exit condition before work starts.
Accountable owner
A delivery lead who owns scope, stakeholders and evidence.
Evidence-based milestones
Each milestone is invoiced only when its evidence is met.
Independent testing
Evaluation by reviewers outside the build team.
Your data, your IP
You own workflows, prompts, evaluation sets and reports.
Knowledge transfer
Runbooks and handover so your team can run it.
Examples of our work.
Representative examples, shared without client names. We are happy to talk through the details on a call.
Five disconnected tools became one system. Placements now invoice the day a consultant starts, with utilization visible by project.
Two weeks before launch, independent red-teaming surfaced high-severity failures, including a source-document leak through indirect prompt injection.
A two-person pod took a document-intake workflow from mission brief to a production agent with guardrails, with every milestone met on evidence.
Choosing a solution
What if our workflow does not match a package?
Most engagements are tailored. The packages are starting points we tailor to you; in the working session we map your workflow to the right combination of Deploy, Assure and Operate.
How quickly can we see results?
The first production release typically lands within two weeks of a mission starting. Assurance engagements produce a baseline report in three to five weeks.
Do we need to change our technology stack?
No. Our engineers work inside your existing systems, tools and cloud, and integrate with what you already use.
Can we start small?
Yes. A common starting point is a two-week AI Readiness Sprint or a single evaluation, then expand once the first results are in.
Tell us about the workflow that matters most.
A 30-minute call, followed by a written scope and price range.