NewManaged AI teams are now available across the Dolphin Nexus network
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Managed teams

You define the outcome. We build the team behind it.

Not sure which roles you need? You don't have to be. Tell Dolphin Nexus what you're trying to accomplish — we define the requirements, assemble the right talent and manage the team that delivers it.

Talk to an expertSee example teams
Team request · AI copilot for support
YOUR OBJECTIVE

"Ship an AI support copilot into production in one quarter, on our existing data stack."

Production in 12 weeksExisting data stackHuman escalation
DOLPHIN NEXUS ASSEMBLES

Owns the outcome, not the ticket queue. Scopes the copilot into weekly milestones and reports against them.

Builds the copilot itself — retrieval, tool calls, guardrails, and the handoff to a human agent.

Connects your helpdesk, docs and product data into a retrieval layer the copilot can actually query.

Takes it to production and keeps it there: deploys, monitoring, cost ceilings, rollback path.

Designs the agent-facing surface so suggestions land inside the workflow your team already uses.

Sets the eval sets and accuracy thresholds, and decides what blocks a release.

0 of 6 matched
Team assembled · managed by Dolphin NexusKickoff in 18 days
The engagement

Five steps from objective to managed team.

You stay in the outcome conversation. We take the talent operation.

STEP 01
Define the outcome

We start with the business objective, scope and constraints — not a list of job titles.

ObjectiveScopeConstraintsSuccess measures
STEP 02
Design the team

We determine the capabilities, seniority mix and roles the objective actually requires.

Capability mapTeam shapeSequencing
STEP 03
Assemble the talent

Qualified professionals are selected from the Dolphin Nexus network and matched to the team.

Vetted networkMatchingInterviewsContracts
STEP 04
Deploy the team

Onboarding, access, documentation and integration into your organisation and rituals.

OnboardingAccessIntegration
STEP 05
Manage the engagement

Progress, performance, communication and workforce changes are managed for the life of the engagement.

Delivery reviewsPerformanceAvailabilityReporting
Team shapes

Capability, not job titles.

Four teams we assemble often. Yours will be shaped around your objective, not a template.

AI product team
Web & product engineering
Design function
Data & platform
AI product team

Takes an AI use case from opportunity to a production feature your customers use.

TYPICAL SIZE
6–8 people
FIRST MILESTONE
Working PoC in 6 weeks
PMAI Product Manager
AEAI Application Engineer
MLML Engineer
DEData Engineer
PLPlatform / MLOps
PDProduct Designer
QAEvaluation / QA
ARAI Architect (part-time)
Web & product engineering

Builds and ships product surfaces — web apps, dashboards, customer-facing features.

TYPICAL SIZE
4–6 people
FIRST MILESTONE
First release in 4 weeks
TLTech Lead
FEFrontend Engineers ×2
BEBackend Engineer
PDProduct Designer
QAQA Engineer
PMProduct Manager
Design function

Stands up product design capability — systems, research and interface work — where none exists yet.

TYPICAL SIZE
2–4 people
FIRST MILESTONE
Design system in 5 weeks
DLDesign Lead
PDProduct Designer
URUX Researcher
DSDesign Systems Engineer
Data & platform

Builds the data and infrastructure foundation everything else depends on.

TYPICAL SIZE
4–5 people
FIRST MILESTONE
Pipelines live in 5 weeks
DAData Architect
DEData Engineers ×2
PLPlatform Engineer
SESecurity Engineer
ANAnalytics Engineer
Delivery model

The team changes with the problem.

Start small. Prove value. Scale when you're ready — the engagement grows in stages instead of one large commitment.

STAGE 01
3 people
Discovery
Strategist
Product lead
Architect
STAGE 02
4 people
Proof of concept
AI engineer
Product engineer
Data engineer
Designer
STAGE 03
8 people
Production
Architect
Application engineers
ML engineer
Data engineer
Platform / MLOps
Product manager
Designer
QA
STAGE 04
Ongoing
Scale
Engineering
AI operations
Platform
Evaluation
Product
Support
Your workspace

The engagement, visible at all times.

Milestones, team composition, utilisation and engagement health — the same view your Dolphin Nexus delivery lead works from.

Delivery
Team
Performance
Invoicing
MILESTONES
Discovery & capability map
Weeks 1–2
Complete
Retrieval layer & evaluation harness
Weeks 3–6
Complete
Copilot beta in production
Weeks 7–11
In progress
Rollout & handover
Weeks 12–14
Scheduled
ENGAGEMENT
Team size7 people
Utilisation86%
Engagement healthStrong
Next reviewFri, 21 Aug
Managed by Dolphin Nexus

Who owns what.

A managed engagement only works if the boundary is explicit. This is it.

Talk to an expert
YOU OWN
The objective and the priorities
Product and commercial decisions
Access to your systems and stakeholders
Acceptance of the work delivered
Scaling the engagement up or down
DOLPHIN NEXUS OWNS
Defining the capabilities the objective needs
Sourcing, vetting and matching every person
Contracts, onboarding and compliance
Delivery management and progress reporting
Performance, availability and team changes
Payroll, invoicing and workforce administration
Customer story
"We described the outcome, not the roles. The team that arrived was the right shape — and we never ran a hiring process."
TL
Tomas Lindqvist
Head of Product, Lumen
Lumen · AI support copilot
CHALLENGE
Support volume grew faster than the team could hire, with no in-house AI engineering.
TEAM
7 people — product, AI application, ML, data, platform, design, evaluation.
DEPLOYMENT
Team assembled and onboarded in under three weeks.
OUTCOME
Copilot in production by week 11, handling first-line resolution with human escalation.
Illustrative engagement — real figures published once available.

Common questions.

Still unclear on something? Talk to an expert.

How is this different from hiring contractors?

You're not managing a group of individuals. The team is designed around your objective, and Dolphin Nexus manages delivery, performance and the workforce operation around it.

What if we don't know which roles we need?

That's the normal starting point. We define the capability requirement with you before any name is put forward.

How quickly can a team start?

Discovery-stage teams typically start within two weeks. Full production teams take longer to assemble because the capability mix is wider.

Can the team change mid-engagement?

Yes. Team shape is reviewed at each stage — capabilities are added, reduced or swapped as the work moves from proof to production.

Who manages the people day to day?

A Dolphin Nexus delivery lead owns the engagement and the workforce operation. You stay in the outcome conversation.

Can we hire someone permanently afterwards?

Yes — conversion is supported when a placement should become a permanent role on your team.

Tell us what you're building.

Describe the outcome you need. We'll come back with the team shape, the people and a managed engagement plan.

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