Strategic decisions grounded in governed enterprise evidence
Tekplanit's Decision Intelligence capability turns your operational data, benchmarks, maturity scores, system maps, process flows, and competitor signals into actionable strategic decisions. A live system landscape, use-case roadmap, scenario modeling engine, and AI agents work together — grounded in the same knowledge graph your plans and operations run on — to give leaders fact-based inputs for the decisions that matter most.
What is included in Tekplanit Decision Intelligence?
Live system landscape
For supported systems connected to approved discovery sources with configured permissions, discovery agents refresh an interactive map of the estate by capability, owner, and lifecycle stage within those access boundaries.
Process flows & gap detection
With supported process sources connected and configured, AI-assisted mapping visualizes available end-to-end flows, detects pain points, and surfaces reviewable improvement recommendations.
Benchmarking
Compare your KPIs, process metrics, and software spend against a curated industry peer cohort. Gap-to-top-quartile scores tell you exactly where to focus investment to move from median to leading.
Enterprise Maturity Assessment
When approved operational sources are connected and configured, maturity scores can refresh across business functions and feed a roadmap with illustrative modeled ROI estimates, not guaranteed outcomes.
Use-case roadmap engine
For connected systems with configured access, a deterministic catalog maps available capabilities to use cases and ranks gaps using modeled value assumptions that teams can review.
Scenario modeling
With approved plan and operational sources connected and configured, teams can compare what-if scenarios and receive AI-generated commentary on modeled results, not guaranteed outcomes.
AI-grounded recommendations
With approved decision sources connected and access configured, the AI assistant can answer questions using available citations and modeled ROI assumptions for human review.
Cross-system dependency analysis
For supported systems connected with configured access, Tekplanit maps recorded dependencies so teams can review downstream risks before replacing or retiring a platform.
Portfolio use-case coverage
For connected portfolio records with configured access, visualize modeled use-case coverage and gaps as reviewable inputs to build-buy-partner decisions.
Competitor intelligence integration
When approved research and operational sources are connected and configured, bring cited market signals into strategic decisions alongside available internal evidence.
Industry best-practice standards
Pillars use curated industry research patterns from the platform knowledge base as reference guidance, not verified outcomes for every organization.
Agentic decision support
Where tools are enabled and permissions configured, agents can research options, compare trade-offs, model scenarios, and draft governed recommendations for approval.
How does Tekplanit Decision Intelligence work?
Most enterprise decision-making relies on periodic reports, spreadsheet scenarios, and point-in-time consultant assessments that are stale by the time they reach the leader who needs them. Tekplanit builds Decision Intelligence directly into the platform layer, where approved connected inputs refresh within configured access boundaries.
When approved discovery sources are connected and permissions are configured, auto-discovery agents maintain the system landscape within those access boundaries. When approved operational sources are connected and configured, maturity scores use available signals rather than a questionnaire. Benchmarks use a curated peer cohort. With approved plan and operational sources connected and configured, scenario models use available records, and AI answers cite available knowledge-graph evidence for human review.
Decision Intelligence agents can research options, model trade-offs, and draft briefings in the background — with admin-configurable approval gates on any recommendations that would trigger a commitment or system change.
Related capabilities
Gap-to-top-quartile benchmark scores are a core input to the Decision Intelligence roadmap — ranking investment priorities by how much each closes the gap to top-performing peers.
When approved maturity sources are connected and configured, scores across business functions can surface which areas to invest in first and feed the roadmap engine with illustrative modeled ROI estimates, not guaranteed outcomes.
Competitor signals feed directly into the Decision Intelligence layer, bringing external market context — competitor tool choices, industry moves — alongside internal operational data.
Frequently asked questions about Tekplanit Decision Intelligence
What is Decision Intelligence in Tekplanit?
When approved operational sources are connected and configured, Tekplanit's Decision Intelligence capability combines available benchmarks, maturity scores, process maps, and system knowledge into reviewable decision inputs. It includes a system landscape, process flows, maturity assessments, scenario modeling, roadmap scoring, and competitor intelligence.
What does the live system landscape show?
For supported systems connected to approved discovery sources with configured permissions, auto-discovery agents refresh a map of functional capability, owner, and lifecycle stage within those access boundaries as connected systems are added, changed, or retired.
How does Decision Intelligence help with build-buy-partner decisions?
For connected portfolio records with configured access, the use-case roadmap maps available capabilities against a curated use-case catalog and ranks gaps using modeled value assumptions. Leaders can review this evidence alongside stakeholder and vendor input before build-buy-partner decisions.
What is the connection between Decision Intelligence and Benchmarking?
Benchmarking is a core component of Decision Intelligence. Gap-to-top-quartile scores across KPIs, process maturity, and software spend feed directly into the roadmap and recommendation engine — so investment priorities are ranked by how much they close the gap to the best-performing peers in your industry.
Can Decision Intelligence model different scenarios?
Yes. With approved operational and plan sources connected and permissions configured, Tekplanit can run what-if analyses for headcount shifts, demand changes, supplier disruptions, or pricing adjustments. Outputs are modeled scenarios, not guaranteed outcomes.
How does the AI assistant interact with Decision Intelligence?
With approved Decision Intelligence sources connected and access configured, the AI assistant can answer questions using available knowledge-graph citations. Recommendations and modeled risk-adjusted outcomes remain inputs for human review, not guaranteed results.
Is cross-system dependency analysis included?
Yes. Tekplanit maps cross-system dependencies across your estate, so leaders can see the downstream impact of retiring, replacing, or restructuring a platform before a decision is made — rather than discovering dependencies mid-project.
What governance is applied to Decision Intelligence recommendations?
Agentic decision support runs under the same admin-configurable guardrails as the rest of the platform. Sensitive recommendations — those that would trigger system changes, spend commitments, or org restructuring — can be configured to require human approval before any action is taken.