AI Implementation Company

An implementation company designs, builds and hands over the working system, not just the recommendation. Paloren does both: strategy identifies the work worth doing, and delivery builds it against your data, permissions and approvals. A useful engagement includes discovery, source contracts, integration work, evaluation cases, rollout and training. Paloren scopes first projects at USD 25k to 100k over 2 to 10 weeks, with company brain programmes at USD 60k to 150k over 8 to 12 weeks. The handover should leave your team able to operate the result, not dependent on the supplier for every change.

• Discovery and source contracts
• Integration and evaluation
• Training, handover and ownership

Implementation capability shows in details: source ownership, permission boundaries, test cases, failure handling and the runbook. Paloren documents these because the team has spent years building systems that need to survive real use. Ask any company for the evaluation set, the acceptance criteria and the monitoring plan before you approve a build. A credible answer explains how missing data, revoked access or conflicting records are handled. A weak answer describes features but not what happens when they meet the messy reality of a business.

• Evaluation cases before release
• Failure and recovery plan
• Runbook and named owner

The first release should change one process end to end. Paloren connects the systems needed for the answer, builds the workflow with representative users and tests the awkward cases before launch. The release includes documentation, training and a support model. This makes the project easier to evaluate and the next one easier to plan. It also keeps the build aligned to a business outcome rather than a feature list, which is where many technology projects drift.

• One process, end to end
• Representative users in testing
• Documentation and training included

Paloren is co-founded by Aaron Agius and Alex Agius. Aaron founded Louder, a growth agency, and has spent 15 years building marketing, data and growth systems. The people behind Paloren have spent two decades inside businesses such as IBM, Ford, LG, Unilever, Jaguar and Chelsea FC. That experience matters because implementation needs commercial judgement as well as engineering. Paloren also trains teams, so the system is adopted rather than abandoned after launch.

• Strategy and delivery in one team
• Two decades of operating experience
• Training and adoption built in

After launch, Paloren documents the operating model: who monitors, who approves changes and who receives alerts. Support is an optional add-on, scoped separately, with faults acknowledged within 4 business hours. The team also reviews whether the first release should be extended, connected to another workflow or used as the foundation for a company brain. This keeps investment moving in a sequence rather than scattering across disconnected pilots.

• Monitoring and alert ownership
• Support model documented
• Sequence for the next project

Implementation starts with source contracts, not code. Paloren records which systems are involved, which fields are needed, who owns each source and what happens when a feed fails. Identity mappings are resolved before they enter an answer, so the system does not silently join the wrong records. This work is often the most valuable part of the project because it prevents downstream errors that are expensive to diagnose. The proposal names who owns each dependency, so nothing is left unassigned when the build starts.

• Source IDs and field contracts
• Identity and join resolution
• Owner recorded for each source

Paloren tests the system against representative tasks and edge cases before release. Cases cover correctness, isolation, recovery and evidence. Correctness checks that the answer matches the source. Isolation confirms that a user only sees what their permissions allow. Recovery tests what happens when a source is unavailable. Evidence confirms that the answer carries its sources. All required cases must pass before go-live. Changes to sources or permissions trigger re-testing, so the standard is maintained rather than assumed.

• Representative and edge cases
• Correctness, isolation, recovery, evidence
• Re-testing after changes

Paloren assigns a project lead and brings in engineers, product specialists or strategists depending on scope. The proposal names who does what, so responsibilities are clear. On the client side, the engagement needs a business owner who accepts the outcome and a technical contact who can confirm access and constraints. For training, a specialist in the discipline being taught leads the session. This structure keeps the project accountable rather than becoming a committee where nobody owns the decision.

• Named project lead
• Business owner and technical contact
• Specialist assigned per discipline

Three mistakes are common. First, skipping evaluation and launching on impressions. Second, ignoring adoption and treating training as a formality. Third, over-scoping the first release until it becomes a platform project rather than a bounded delivery. Paloren avoids all three by testing before launch, building training into the plan and keeping the first release small enough to evaluate honestly. If you recognise these mistakes in a previous project, bring that experience to the scoping conversation so it can be addressed directly.

• No evaluation before launch
• Training treated as optional
• First release too broad

Use this checklist before choosing an implementation company. First, the proposal names the workflow and the owner. Second, it defines the data sources and permission boundaries. Third, it includes evaluation cases and acceptance criteria. Fourth, it includes training and documentation. Fifth, it states the support model and who handles incidents. Sixth, it defines what remains available if the engagement ends. If any of these are missing, ask for written clarification before committing to the build.

• Workflow and owner named
• Data boundaries and evaluation criteria
• Training, support and exit defined

Integration work is scoped by the number of systems, the APIs available, the data volumes and the rate limits involved. Paloren confirms what each system can provide before proposing the connection. Some systems have limited APIs or require permission from the platform owner. These constraints are identified during scoping, not discovered mid-project. The proposal names which integrations are included, what they connect and what happens if a source is unavailable. This prevents a build that works for one system but fails when another changes its API.

• Systems and APIs confirmed
• Data volumes and rate limits assessed
• Source failure handling documented

A pilot tests whether a workflow can work. Production means the workflow runs reliably in the business. The difference is testing depth, monitoring, support and operating ownership. Paloren delivers pilots that are designed to become production systems, not throwaway experiments. The pilot tests representative cases and edge cases, documents the operating model and includes training. If the pilot succeeds, the transition to production is a decision about scaling, not a rebuild from scratch.

• Representative and edge case testing
• Monitoring and support model
• Operating ownership documented

A support model defines who monitors the system, how quickly faults are acknowledged, who handles changes and what happens when a problem cannot be resolved immediately. Paloren scopes support separately, with faults acknowledged within 4 business hours. The model also defines what is included: monitoring, incident handling, platform updates and change requests. This prevents a system that was delivered well but left without anyone watching it, which is how many AI projects fail after launch rather than before.

• Named monitoring responsibility
• Fault acknowledgment within defined time
• Change and escalation process

The handover pack includes documentation of the system, the evaluation evidence, the training materials, the operating model and the named owner. It should be complete enough that a new technical person could understand the system without the original team. Paloren prepares this as part of delivery rather than as an afterthought, because a system without documentation is a liability. The pack also records what remains available if the engagement ends, so the business knows what it owns and what it depends on.

• System documentation and evaluation evidence
• Training materials and operating model
• Named owner and exit terms