HOW WE WORK
Outcome-based delivery. Sized to the problem.
A named accountable principal, a specialist team matched to the scope, an agreed measure, and visible progress and decision evidence.
THE ARC
Diagnose → Design → Implement → Operate → Transfer or Improve
Delivery can follow all five stages. An advisory engagement may end after a documented recommendation, with no obligation to buy implementation from NeoAistriq.
Diagnose
Inventory the workflow, existing tools, systems, owners, evidence, and constraints. Identify whether AI is worthwhile before recommending an approach.
Process map · system map · opportunity evidence
Design
Choose whether to configure, buy, integrate, build, use rules-based automation, or defer. Define the interaction model, including text, voice, visual, document-based, or multimodal inputs where relevant, plus the target workflow, permissions, human checkpoints, and evaluation plan.
Recommendation · workflow design · evaluation plan
Implement
Roll out purchased capability, configure existing tools, integrate systems, or build the smallest justified custom workflow with controls and failure paths included.
Working capability · monitoring · runbook
Operate
Measure quality, cost, adoption, exceptions, and the agreed business outcome in live use.
Outcome evidence · exception log · improvement backlog
Transfer or Improve
Hand the workflow to your team with practical guidance, or continue improving it through managed operations.
Handover pack · ownership model · next-cycle plan
ENGAGEMENT MODELS
Two clear ways to work with us.
Fixed price is our default because it removes the incentive to bill hours. A named principal is accountable for the agreed scope, with specialists added where the work requires them.
Fixed-price sprint
A scoped outcome with an agreed price and date. A named principal remains accountable, and specialist work is included in the approved scope.
Typical team · Named principal + scoped specialists
Good fit · Audits, pilots, and first production workflows
Managed operations
We monitor, evaluate, and improve a live workflow after launch. The operating cadence and decision rights are agreed upfront.
Typical team · Named principal + scoped specialists
Good fit · Ongoing optimization, evaluation, and governance
INCLUDED IN DELIVERY
Adoption and handover
Enablement is not a separate product line. Relevant engagements include role-based operating guidance, runbooks, paired working sessions, decision rights, and a handover your team can use without creating dependency on NeoAistriq.
TEAM SCALINGNamed accountability. A team sized to the work.Open this to see how a principal and specialists are assembled around an agreed scope.Show the layersHide the layers
Accountable principal
Each engagement names the principal accountable for the responsibilities agreed in scope, including decisions, delivery oversight, and handover.
Scoped specialists
During Diagnose we name the crafts the build needs, data engineering, integrations, front-end, security, design, change enablement, and the hours each requires. They join for those phases only.
Extended network
Our vetted practitioner network extends the team when depth or parallel work is required, under the same scope and named accountability.
Your people
Where you have capable engineers, we pair rather than replace. Blended pods are normal and usually cut both cost and hand-over risk.
FIT
Who this is for, and who it isn't.
These conditions help you identify fit before investing time in a sales conversation.
A good fit
- Typically 20–200 people, with a named business owner and a bounded workflow. Smaller and larger organizations can fit when the scope is clear.
- An established customer or member base and a specific journey or operational workflow with visible friction.
- A reachable CRM, service, product, or operational system and a path to the relevant data.
- A sponsor who can define the outcome and participate in decisions, with scope and investment agreed before work begins.
Not a fit (yet)
- No owner or bounded problem to solve, making it hard to agree on a useful outcome.
- A request for open-ended staff augmentation without a defined delivery outcome.
- A chatbot installation with no accountable workflow, system action, or owner.
- An AI experiment with no access to the relevant systems or ability to approve the work.
DELIVERY PRINCIPLE
Human ownership. Agreed technology boundaries.
Every engagement has a named principal responsible for scope, architecture, and delivery. We agree how AI may be used during development and where it belongs in the finished system.
Clients can specify restrictions on tools, data access, and AI-generated work. The delivery plan reflects those requirements. Human review, documented architecture decisions, and agreed release checks support practical handover and ongoing ownership.
AI-assisted development and an AI-powered product are separate decisions. A conventional application can be the right answer, and tool restrictions are agreed before work begins.
NEXT STEP
Still deciding if we're a fit?
Tell us the problem, owner, systems, and next decision. We will suggest a suitable starting scope if there is a fit.