Team Augmentation | Brisbane and Australia-wide

Senior AI Specialists, Embedded in Your Team

You have a project that needs AI, data or integration experience your team does not have yet. We join your team for a defined outcome, do the work alongside your people, and leave it documented so they can run it.

When a Project Outruns the Team You Have

Most AI projects stall in the same place. The business case is approved, the people who know the processes are ready, and nobody on staff has built a production AI system, cleaned a finance data set for it, or connected it to a twenty-year-old line-of-business application. Recruiting a permanent specialist takes months, and the project may only need that skill set for one phase.

Team augmentation fills that gap for a set period. A senior person from Solve8 works inside your team, in your tools and your meetings, on an outcome agreed in writing. Your staff do the work with us, which is how the knowledge stays after we leave.

The readers who get the most from this tend to have one of these problems: several systems that do not talk to each other, invoices and reports still rekeyed by hand, a compliance deadline that depends on better data, a Microsoft 365 rollout with governance questions nobody owns, or an internal IT team that is strong on infrastructure and new to AI. Organisation size matters much less than whether one of those describes you.

Roles We Embed As

Each role is filled by a senior practitioner. We agree which one you need at scoping, and we tell you if the work needs a role we do not cover.

AI and automation technical lead

Owns the design of an AI or automation project inside your team: which model, which data, which approvals, and how it gets tested. Useful when you have capable developers or analysts who have not shipped an AI system before.

Process automation

Data and reporting engineer

Builds the pipelines and models behind finance and operational reporting: Power BI, Xero and accounting data, spreadsheets that have outgrown themselves, and the data quality work that has to happen before any AI can be trusted.

Plain-English BI agents

Integration engineer

Connects AI to the systems you already run: ERP, CRM, document management and older line-of-business applications with awkward APIs or none at all.

System integration

Microsoft 365 and Copilot governance

Works with your administrators on SharePoint permissions, sensitivity labels and pilot design before Copilot licences are switched on, and stays on to run the access reviews afterwards.

Copilot readiness

Fractional AI lead

A part-time senior voice for leadership: prioritising use cases, reviewing vendor proposals, setting governance and reporting progress to the board, for organisations not ready to appoint a permanent AI executive.

Do you need a Chief AI Officer?

Operational technology data (specialty)

For asset-heavy operations, an engineer who understands historians, tag structures and how plant data reaches business reporting. This is one specialty among the roles above.

Historian to Power BI reporting

What the Engagement Includes

The exact list is agreed in the first call. This is the usual shape.

  • A one-page engagement brief naming the outcome, the person we report to, the days per week and the end point.
  • Access and security set up through your normal onboarding, with our work done in your tenant, repositories and ticketing system.
  • Working sessions with the staff who will own the result, so they build alongside us from the first week.
  • Design notes for every significant decision: data sources, model choice, approval steps, error handling and logging.
  • Fortnightly progress notes your manager can forward to leadership without rewriting.
  • A hand over pack with runbooks, a known-issues list and recorded walkthroughs of how the system works.
  • A closing review that checks the outcome against the brief and lists what your team should do next.

See what this would take in your business

A free 30-minute review on Microsoft Teams. Bring the process you want fixed and leave with a clear first step.

Book your free review

How an Embedded Engagement Runs

Phase lengths depend on the outcome and the days per week, so we set them at scoping and review them as we go.

Team Augmentation Phases

1
Phase 1
Scope
Agree the outcome, the role, who we report to and how success will be checked
2
Phase 2
Onboard
Accounts, environments, security induction and a walkthrough of current systems and data
3
Phase 3
Deliver with your team
Build, test and document alongside the staff who will own the result
4
Phase 4
Hand over
Runbooks, walkthrough recordings and supervised operation by your team
5
Optional
Step back
Light-touch support or a managed service once the system is live

If the project is still at the question of what to build, start with AI strategy or a short proof of concept first. Embedding someone before the outcome is clear tends to produce activity without a result. Once a system is live and the team is confident, managed AI services can take over the monitoring and maintenance work.

Is Augmentation the Right Model?

Choosing an Engagement Model

What best describes your situation?
Defined project, capable team, missing AI or data experience
→ Team augmentation
Need the skill permanently for day-to-day work
→ Recruit, and use us to help define the role
You want the whole system built and handed over
→ Custom AI development
System is live and needs looking after
→ Managed AI services
Not yet sure what to build
→ AI strategy engagement

For a full build delivered end to end, see custom AI development. For the trade-offs between the three main options, our post comparing a consultant, an in-house hire and an agency goes through cost, speed and what you keep at the end.

When We Are the Wrong Fit

We would rather tell you this in the first call than three months in.

  • You need a large development team for a long build. We are a small consultancy and will not pretend otherwise, though we can lead or review the vendor who does that work.
  • You need someone permanently for business-as-usual support. A permanent hire will serve you better, and we can help write the role description and assess candidates.
  • There is no outcome yet, only a wish to "do something with AI". Start with strategy so the embedded time has something to aim at.
  • The role needs a specific security clearance or accreditation. Raise it at the first call so we can tell you plainly whether we can meet it.
  • You want a person to take tickets with no say in design. Our value is in the decisions, so that arrangement wastes your budget.

Choosing any outside help deserves care. Our guide on how to choose an AI consultancy lists the questions worth asking, including of us. Governance matters too when outsiders touch your data, and our AI governance framework guide covers access, approvals and records.

Who You Work With

You work directly with senior people. Solve8 is based in Brisbane, and works with organisations across Australia, mostly remotely and on site in South East Queensland when that helps.

Our documented client work is the Tier 1 infrastructure carbon reporting case study, where standardised templates and Power BI replaced manual ESG data collection and the result was handed over for the client's team to run. Carbonly and SupportAgent show the kind of AI systems we build. All of it is listed on our case studies page.

Enterprise Experience, Direct Access

Our principal consultant brings 18 years of enterprise delivery experience from projects for BHP, Rio Tinto and Senex Energy, delivered with previous consulting employers. These companies are not Solve8 clients. You work directly with senior people, not a sales team handing you off to juniors.

18 Years Enterprise DeliveryProven SaaS Track Record

See what this would take in your business

A free 30-minute review on Microsoft Teams. Bring the process you want fixed and leave with a clear first step.

Book your free review

Frequently Asked Questions

See how consulting engagements are priced.

Tell Us What the Project Needs

Book a 30-minute scoping call. We will talk through the outcome, your team and the gap, then tell you whether embedding one of us is the right answer.