Outcome before technology
We first clarify the process, objective and measurable value. Only then do we decide which AI and integrations make sense.
✦ AI delivery with Hits7
How an idea becomes a production-ready AI tool.
From the first process description to live operation: we validate the value, define the deliverable, build the solution and continue supporting it after launch.
Clear process, clear outcomes
You know what happens next at every stage.
A defined deliverable
Features, data, interfaces, timeline, acceptance criteria and costs are documented in a way everyone can verify.
Ready for day-to-day work
Delivery does not end with a prototype. Rollout, documentation, handover and, if required, ongoing operation are part of the journey.
From enquiry to operation
The complete delivery process.
- 01
No-obligation initial consultation
We discuss your company, current process, specific problem and desired outcome. You then receive an honest assessment of whether AI is useful and which next step is appropriate.
Outcome: initial value and feasibility assessment - 02
Requirements and process workshop
Together we capture users, process steps, data sources, exceptions, integrations, privacy and security requirements. A broad idea becomes a testable target state.
Outcome: agreed target state and prioritised requirements - 03
Statement of work and solution design
We define what will be delivered: scope, boundaries, data flows, roles, integrations and acceptance criteria. Depending on the project, this becomes a detailed specification or a prioritised product backlog with technical requirements.
Outcome: a clear basis for proposal and delivery - 04
Proposal and contract
The proposal covers scope, milestones, timeline, fees and client responsibilities. The contract also addresses usage rights, confidentiality, liability, acceptance and any required data-processing arrangements.
Outcome: a binding commercial and project framework - 05
Prototype and business validation
For new or high-risk workflows, we first validate the core with a focused prototype. Representative data and real scenarios reveal whether usability, output quality and business value are right.
Outcome: validated approach before full development - 06
Development and integration
We build prioritised features in reviewable increments, connect the agreed systems and test continuously. Regular demonstrations keep progress, decisions and budget transparent.
Outcome: a working AI tool in the agreed environment - 07
Testing, acceptance and rollout
Together we verify the agreed acceptance criteria. After remediation, we deploy the system, provide documentation, train users and manage a controlled production launch.
Outcome: an accepted tool in productive use - 08
Operation and ongoing support
If required, we provide monitoring, issue resolution, updates, adaptations and further feature development. Quality, cost and usage are reviewed regularly.
Outcome: reliable operation and planned evolution
Defined before delivery starts
What a dependable statement of work should cover.
- 01Business objective and measurable success criteria
- 02Users, roles and concrete process steps
- 03Features, priorities and explicit system boundaries
- 04Data sources, data quality and retention
- 05Interfaces to existing systems
- 06Privacy, information security and permissions
- 07Test scenarios and objective acceptance criteria
- 08Milestones, timeline, budget and client responsibilities
- 09Documentation, rollout, support and operation
- 10Usage rights, confidentiality and change control
Matched to the risk
Not every project needs the same starting point.
Clearly defined solution
When process and outcome are known, we agree a precise deliverable with milestones and acceptance criteria.
New or uncertain idea
When value or feasibility is still open, we begin with discovery and a prototype instead of committing to a large project immediately.
Improve an existing tool
We assess the current product, prioritise improvements and deliver defined extensions or ongoing support.
Common questions before starting
What organisations want to know before an enquiry.
Does every solution have to be built from scratch?
No. We first assess whether existing systems, suitable standard services and proven components can be connected safely. Custom development is limited to what the specific workflow actually requires.
What information is needed at the beginning?
For the initial conversation, a description of the current workflow, the people involved and the required outcome is enough. Representative test cases and data sources are defined together during discovery.
Can existing systems be integrated?
Yes, where suitable and permitted interfaces are available. Before committing, we assess access rights, data quality, technical limits, costs and the responsibilities attached to each system.
How long does delivery take?
That depends on scope, data, integrations and assurance requirements. After requirements and process discovery, you receive a realistic schedule with milestones and acceptance criteria.
How are privacy and security addressed?
Data types, storage, permissions, model providers, logging and necessary human approvals are defined for the specific use case before production data is processed.
What happens after launch?
Documentation, handover, support, monitoring and further development are clearly scoped in the proposal, so you know before the project begins what is included for rollout and ongoing operation.
Describe the process you want to improve.
In the first conversation, we determine whether an existing Hits7 solution fits, should be adapted or whether a new AI tool is the better route.
Request a no-obligation consultation →