Solutions
Start with the part you came for.
AI, automation, or the operational foundation underneath it. We assess what the work needs.
No handoff between strategist and engineer. One accountable team carries each engagement from the plan to the build.
How we work
Four phases. You decide after each one.
1. Assess
Find what’s missing in the area you want to fix, and what fixing it is worth.
Decision: Whether to act, and where to start.
2. Strategize
Rank the fixes, design workflows, and set guardrails and goals.
Decision: Which initiatives, in what order.
3. Implement
Build it, with governance, risk, and compliance running through delivery.
Decision: Go-live sign-off.
4. Optimize
Measure results against agreed goals, keep adoption on track, and find what’s next.
Decision: Scale, adjust, stop, continue month to month, or start a follow-on.
Adoption and change management run through every phase. We build for “used,” not just “deployed.”
Solutions
Phases are how an engagement runs. Solutions are what it delivers.
AI & Operational Readiness
Find where structure is missing. Scope the fix.
Operational assessments · Business process analysis · Data readiness evaluation · Enterprise architecture review · AI readiness assessment
What you get: a readiness assessment report showing where structure is missing for the initiative you’re evaluating, and what it would take to fix it.
Strategy, Roadmap & Governance
Prioritize the work. Set guardrails.
Strategy: AI strategy development · Automation opportunity assessment · Agentic workflow design · Multi-initiative roadmaps and implementation plans
Governance: Governance framework design · AI risk assessment · Compliance alignment
What you get: a roadmap and governance framework for the initiatives you’re prioritizing. If the engagement ends here, your team maintains the framework, with check-ins available if you want it revisited. If it moves into implementation, bygge carries it through.
Automation & Agentic Implementation
Deploy automation and agents that remove manual work.
Automation: Workflow automation · Intelligent notifications · Platform configuration
Agentic: Agentic AI build & deployment · Agentic workflow implementation
What you get: working automation and agents, configured, tested, and handed off with training.
Data Architecture & Systems Integration
Clean, connect, and structure your data and systems.
Data architecture build-out & modeling · Data quality improvement · System integrations · Integration architecture execution · Dashboard and KPI logic · Reporting infrastructure
What you get: connected, reliable data infrastructure and reporting your team can act on, from one source of truth.
Build
Custom builds when no tool fits.
Scoped to a defined outcome: AI-powered internal tools and copilots, workflow platforms, customer portals, and mobile apps.
What you get: a working, tested system your team owns, handed off with training.
How we staff engagements
Every engagement has a dedicated lead and a senior team built around the problem.
- The lead who scopes your work runs it through delivery.
- Every specialist is vetted for track record, skill, and team fit.
Outcomes
11 departments
11 departments, one operational roadmap
- Challenge:
- Departments ran on separate systems and handoffs, with no shared view of where each project stood.
- What we did:
- Mapped cross-departmental workflows company-wide, then delivered a findings report, a prioritized operational roadmap, and a separate AI implementation plan.
- Result:
- Leadership has a company-wide view of where structure is missing and a prioritized plan to fix it.
- Engagement:
- 2 months · Assess and Strategize
- Solutions used:
- AI & Operational Readiness · Strategy, Roadmap & Governance
10x
Pipeline up 10x, run from one connected sales platform
- Challenge:
- CRM, e-commerce, email, calendar, and outbound ran as separate systems. Keeping data clean and deals moving took hours of manual work every week.
- What we did:
- Connected CRM, scheduling, and the CRM’s built-in dialer so the whole sales motion runs from one platform, and automated multi-channel outbound with real-time alerts, keeping cold calling manual by design. Built two AI agents on the client’s existing systems: an onboarding chatbot for new reps and a meeting-prep agent that briefs reps from CRM and email history. Delivered an AI roadmap for the next phase.
- Result:
- The first meeting with a multi-site prospect came within 30 days of launch, and more than a third of the work week went back to selling.
- Engagement:
- 6 months · Assess, Strategize, Implement, and Optimize
No technical hire
A consolidated tech stack the team runs itself, with no technical hire
- Challenge:
- No consolidated, documented tech stack, and no in-house knowledge to maintain one.
- What we did:
- Assessed its systems and recommended a consolidated tech stack, then set up and calibrated an automated email and social outbound system. Delivered playbooks and trained the team on setup, maintenance, and outbound best practices, both technical and sales, so it could take the system over.
- Result:
- The team runs and maintains the system itself, for its own pipeline and its clients’.
- Engagement:
- 4 months · Assess, Strategize, and Implement
- Solutions used:
- AI & Operational Readiness · Automation & Agentic Implementation
15+ hrs/week
15+ hours a week back to senior staff
- Challenge:
- Outbound depended on manual work by senior staff, with no system connecting CRM and scheduling.
- What we did:
- Connected CRM and scheduling into one system, automated outbound across email and social, and set up real-time alerts for key sales activity. Ramped the system and monitored it through the first months.
- Result:
- 15+ hours a week went back to senior staff, and the system handled about 20x the daily volume they managed by hand.
- Engagement:
- 6 months · Assess, Strategize, Implement, and Optimize
All clients are anonymized under NDA.
Common questions
Do you only work on AI?
No. AI is where we lead, but when the right fix is structure, data, or systems work on its own, we scope that instead.
How is an engagement sized and priced?
To the problem, from a single workflow to a multi-month program. The price is set in your proposal, once the scope is clear.
How long does an engagement take?
It depends on scope. A single workflow can take a few weeks. A larger program usually runs several months.
What platforms do you work with?
The ones you already run. We work inside your existing systems, from your CRM and productivity suite to the major AI models, and recommend new tools only when what you have can’t do the job.
How does bygge handle our data?
Every engagement runs under confidentiality terms agreed before work starts. At kickoff, we confirm with you which tools and services will access your data, including any AI providers, and how it’s stored and retained. We work in your accounts, with only the access each task needs. You own your data and the deliverables we build for you. When the engagement ends, we hand back or delete your data as your agreement sets out. We also remove our access, unless you continue into Optimize.
Do you offer support after a project is delivered?
Yes. Everything we deliver through Build, Automation & Agentic Implementation, and Data Architecture & Systems Integration is designed to run without bygge. If you want ongoing support, Optimize can continue month to month after the engagement ends, covering monitoring, maintenance, and tuning.
Ready to scope it?
Tell us what you’re working on. We’ll come back with where to start and what you’ll get.