LoginGet started

One connected
delivery lifecycle.

Six stages, each with a named lead and one accountable team.

Three beliefs, one way of working.

Business before technology. Shared ownership. Governance from day one.

The lifecycle

Six stages, one team.

  1. 01

    Assess

    Interviews, observation, baselines and an impact hypothesis.

    FD Product-led
  2. 02

    Design

    Target workflow, integration plan, controls and acceptance criteria.

    Product + Engineering
  3. 03

    Deploy

    Iterative build, integration, testing and monitored rollout.

    FDE-led
  4. 04

    Adopt

    Enablement, feedback and the change that gets it used.

    Joint
  5. 05

    Operate

    Monitoring, evaluation and incidents, with human oversight.

    Managed operations
  6. 06

    Expand

    Track value and extend to adjacent workflows.

    Joint

Stage by stage

What happens and who leads.

01 / 06

Assess

Interviews, observation, and baselines. You receive an opportunity map and business case. FD Product leads.

02 / 06

Design

Target workflow, controls, and acceptance criteria. Product and engineering together.

03 / 06

Deploy

Build, integrate, test, then roll out with monitoring and rollback. FDE leads.

04 / 06

Adopt

Enablement and playbooks so the solution gets used. Joint.

05 / 06

Operate

Monitoring, incidents, and cost control, run by you, us, or both.

06 / 06

Expand

Extend to adjacent workflows on evidence. Joint.

Forward deployed

Two disciplines. One accountable team.

Forward-Deployed Product and Forward-Deployed Engineering work together in one deployment pod with shared KPIs and clear ownership.Embedded product leadership + engineeringFD ProductOwn the right problem1Business discovery2Workflow + product strategy3Priorities + success criteriaFD EngineeringBuild the right solution1AI architecture2Agents + systems integration3Deployment + reliabilityOne deployment podShared KPIs. Clear ownership.Production AI + measurable outcomes
01 / Own the right problemFD Product
  • Business discovery
  • Workflow + product strategy
  • Priorities + success criteria
02 / Build the right solutionFD Engineering
  • AI architecture
  • Agents + systems integration
  • Deployment + reliability
One deployment podShared KPIs · clear ownership · production AI
Value to targetLess rework between business and engineering.

One embedded pod, from workflow decisions to production.

Measure: time to production and rework effort
Assess

Contracting principle

What we control, what depends on you.

Accountability is measurable without promising outcomes beyond the team's control. Scope and success criteria make the split explicit.

What Amplent controls versus what depends on client inputs
Amplent controlsDepends on you
Problem framing and acceptance criteria✓
Technical design, build, and deployment quality✓–
Evaluation, security controls, and documentation✓–
Data availability and quality✓
Decisions and approvals on time–✓
Adoption by your teams✓
Measured business outcome

Delivered with our clients.

From discovery to
ongoing operations.

Tell us where you are in the lifecycle.

Get started